Whisper huggingface download #92. I anslutning till modellen finns instruktioner. arxiv: 2212. The Whisper model was proposed in Robust Speech Recognition via Large-Scale Weak Supervision by Alec Radford, Jong Wook Kim, Tao Xu, Greg Brockman, Christine McLeavey, Ilya Sutskever. 65. More information Whisper Large Chinese (Mandarin) This model is a fine-tuned version of openai/whisper-large-v2 on Chinese (Mandarin) using the train and validation splits of Common Voice 11 . Whisper is a set of open source speech recognition models from OpenAI, ranging from 39 million to 1. This model is a fine-tuned version of openai/whisper-base on the Common Voice 11. Audio Classification • Updated Dec 15, 2024 • 7. For offline installation: Download on another computer and then install manually using the "OPTIONAL/OFFLINE" instructions below. Whisper was proposed in the paper Robust Speech Recognition via Large-Scale Weak Supervision by Alec Radford et al. Sep 21, 2022 · Whisper is an automatic speech recognition (ASR) system trained on 680,000 hours of multilingual and multitask supervised data collected from the web. Whisper Medium (Thai): Combined V3 Use the model with huggingface's transformers as follows: Convert spoken words in audio files or YouTube videos into text. 3. I have a Python script which uses the whisper. This allows embedding any Whisper model into a binary file, facilitating the development of real applications. Deploy whisper-large-v3 for automatic-speech-recognition inference in 1 click. Speculative decoding mathematically ensures the exact same outputs as Whisper are obtained while being 2 times faster. This is the third and final installment of the Distil-Whisper English series. . Log In to view the estimation. Intended uses & limitations More information needed import whisper model = whisper. 2 A distilled version of Whisper with 2 decoder layers, optimized for Italian speech-to-text. Kotoba-Whisper-Bilingual is a collection of distilled Whisper models trained for. Paper drop🎓👨🏫! Please see our ArxiV preprint for benchmarking and details of WhisperX. You switched accounts on another tab or window. 下载软件和模型 Whisper Whisper is a state-of-the-art model for automatic speech recognition (ASR) and speech translation, proposed in the paper Robust Speech Recognition via Large-Scale Weak Supervision by Alec Radford et al. Model creator: OpenAI; Original models: openai/whisper-release; Origin of quantized weights: ggerganov/whisper. Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. Train Deploy Use this model main whisper-large-v3-turbo. json --quantization float16 Note that the model weights are saved in FP16. 04356. python -c "from huggingface_hub import hf_hub_download; hf_hub_download pip install faster-whisper Then, download the model converted to the CTranslate2 format: python -c "from huggingface_hub import hf_hub_download; hf_hub_download pip install faster-whisper Then, download the model converted to the CTranslate2 format: Mar 22, 2023 · Add Whisper Large v3 Turbo 7 months ago; ggml-large-v3. Training and evaluation data Feb 20, 2025 · Fakta: KB-Whisper och andra AI-modeller. 5x more epochs with added regularization for improved performance. load("whisper-model. Jun 21, 2023 · For online installation: An Internet connection for the initial download and setup. It is a distilled version of the Whisper model that is 6 times faster, 49% smaller, and performs within 1% WER on out-of-distribution evaluation sets. 1 GB. Kotoba-Whisper-Bilingual (v1. Trained on >5M hours of labeled data, Whisper demonstrates a strong ability to generalise to many datasets and domains in Jan 29, 2024 · We encourage you to start with the Google Colab link above or run the provided notebook locally. Safe Oct 4, 2024 · firdhokk/speech-emotion-recognition-with-openai-whisper-large-v3. License: apache-2. Install ffmpeg: # on macOS using Homebrew (https://brew. If you want to download manually or train the models from scratch then both the WhisperSpeech pre-trained models as well as the converted datasets are available on HuggingFace. Whisper Small Chinese Base This model is a fine-tuned version of openai/whisper-small on the google/fleurs cmn_hans_cn dataset. Large-v3 and large-v3-turbo training corpus details are unknown, so this categorization might not represent their true in-domain vs. Download model from HuggingFace Hub; import huggingface_hub as hf_hub model_id = "OpenVINO/whisper-large-v3-fp16-ov" model_path = "whisper-large-v3-fp16-ov" hf_hub. Whisper Overview. cpp; faster-whisper; hf pipeline; Also, currently whisper. Whisper-Large-V3-Distil-Italian-v0. OpenAI 8. cpp で日本語のプロンプト使えなかったので、とりあえず openai/whisper を試してみる。 CUDA Toolkit をインストールする。必要かどうかわからないけど、Stack Overflow の Answer に従って cu121 の torch を入れた。 Whisper Overview. en Distil-Whisper was proposed in the paper Robust Knowledge Distillation via Large-Scale Pseudo Labelling. Before you can run whisper you must download and install the follopwing items. json Scripts to re-run the experiment can be found bellow: whisper. 66 GB. We anticipate that Whisper models’ transcription capabilities may be used for improving accessibility tools. Note 2: The filtering conditions will only be activated when the Whisper Segments Filter options in the Whisper Segments Filter are checked. Mar 24, 2025 · Distil-Whisper: Distil-Large-v3. This blog provides in-depth explanations of the Whisper model, the Common Voice dataset and the theory behind fine-tuning, with accompanying code cells to execute the data preparation and fine-tuning steps. 5 billion parameters. Model card Files Files and versions Community Whisper was proposed in the paper Robust Speech Recognition via Large-Scale Weak Supervision by Alec Radford et al. 8-bit Q8_0. 1466; Wer: 0. Base model. 2605; Model description The model is fine-tuned for ASR in Portuguese. Den har inget användargränssnitt så det kan behövas lite förkunskap för att använda modellen. mlmodelc. Whisper Medium TR This model is a fine-tuned version of openai/whisper-medium on the Common Voice 11. NB-Whisper Tiny Introducing the Norwegian NB-Whisper Tiny model, proudly developed by the National Library of Norway. 6. Follow. zip. This version is for testing only, it has completed its first stage of continued pre-training. Intended uses & limitations More information needed ct2-transformers-converter --model openai/whisper-large-v2 --output_dir faster-whisper-large-v2 \ --copy_files tokenizer. Discussion RebelloAlbina Whisper Small Italian This model is a fine-tuned version of openai/whisper-base on the Common Voice 11. 0) faster-whisper weight, whisper. More information Feb 10, 2025 · 本文详细介绍了如何在 macOS 上安装和使用 whisper. bin. Whisper CPP Whisper CPP is a C++ implementation of the Whisper model, offering the same functionalities with the added benefits of C++ efficiency and performance optimizations. We show that the use of such a large and diverse dataset leads to improved robustness to accents, background noise and technical language. 0855; Model description More information needed. 67, which is much faster. 4367; Wer: 26. This model can be used in CTranslate2 or projects based on CTranslate2 such as faster-whisper. 今天终于决定，装一下whisper试试。 模型可以在huggingface下载，前面参考文章里有，不赘述了。提醒一下的是，如果从huggingface上用下载的方式(非git clone)下载到的一些json 文件扩展名 是txt，需要改成json： added_tokens. The original code repository can be found here. KB-Whisper Large (Beta) Preliminary checkpoint of the National Library of Sweden's new Whisper models for Swedish. load_model("turbo") result = model. Feb 13, 2024 · NB-Whisper Medium Introducing the Norwegian NB-Whisper Medium model, proudly developed by the National Library of Norway. The abstract from the paper is the following: Sep 16, 2024 · openai/whisper. snapshot_download(model_id, local_dir=model_path) Run model inference: ggml-whisper-models. transcribe("audio. Japanese ASR; English ASR; Speech-to-text translation (Japanese -> English) Speech-to-text translation (English -> Japanese) developed through the collaboration bewteen Asahi Ushio and Distil-Whisper: distil-medium. May 19, 2021 · To download models from 🤗Hugging Face, you can use the official CLI tool huggingface-cli or the Python method snapshot_download from the huggingface_hub library. We’re on a journey to advance and democratize artificial intelligence through open source and open science. 5 for OpenAI Whisper This repository contains the model weights for distil-large-v3. At its simplest: Whisper Overview. audio. cpp. 1, this version extends the training to 30-second audio segments to maintain long-form transcription abilities. cpp; faster-whisper; hf pipeline; Currently whisper. 95k • 42 OpenAI Whisper - llamafile Whisperfile is a high-performance implementation of OpenAI's Whisper created by Mozilla Ocho as part of the llamafile project, based on the whisper. More information GGUFs for whisper. Reload to refresh your session. Acknowledgements We acknowledge the EuroHPC Joint Undertaking for awarding this project access to the EuroHPC supercomputer LEONARDO, hosted by CINECA (Italy) and the LEONARDO consortium through an EuroHPC AI and Data-Intensive Applications Access call. The –cache-dir argument specifies where the model will download to. 51; Model description This model is the openai whisper medium transformer adapted for Turkish audio to text transcription. 3916; Model description More information needed. We will be doing additional post-training to reduce hallucations before releasing the final version of the model. Model tree for simonl0909/whisper-large-v2-cantonese. We will need to convert our model into yet another format. 2 A distilled version of Whisper with 2 decoder layers, optimized for French speech-to-text. Jun 8, 2024 · thanks but i want to use this model for inference its possible in python? then how to do that in python give me some example please? Nov 13, 2023 · Step 1: Download the Whisper Model. Upload an audio file, record from your microphone, or paste a YouTube URL to get the transcription or translation. Not all validation split data were used during training, I extracted 1k samples from the validation split to be used for evaluation during fine-tuning. This model has been specially optimized for processing and recognizing German speech. Oct 1, 2024 · We’re releasing a new Whisper model named large-v3-turbo, or turbo for short. snapshot_download(model_id, local_dir=model_path) Run model inference: Mar 21, 2024 · Distil-Whisper: distil-large-v3 Distil-Whisper was proposed in the paper Robust Knowledge Distillation via Large-Scale Pseudo Labelling. 01k. json preprocessor_config. Python Usage To use the model in the original Whisper format, first ensure you have the openai-whisper package installed. Intended uses & limitations More information needed. Dec 12, 2024 · Jupyter Notebook 启动后，我们导入所有库，然后获取模型，我们选择 Whisper 大型版本 3 Turbo，然后下载模型并将其放入我们的 CUDA 设备（即 GPU），接着我会初始化这个自动语音识别的管道，提供模型、分词器，并指定我们的 CUDA 设备。 ct2-transformers-converter --model openai/whisper-medium --output_dir faster-whisper-medium \ --copy_files tokenizer. CrisperWhisper is an advanced variant of OpenAI's Whisper, designed for fast, precise, and verbatim speech recognition with accurate (crisp) word-level timestamps. It is used to instantiate a Whisper model according to the specified arguments, defining the model architecture. Whisper Whisper is a state-of-the-art model for automatic speech recognition (ASR) and speech translation, proposed in the paper Robust Speech Recognition via Large-Scale Weak Supervision by Alec Radford et al. 5 training data. To run the model, first install the latest version of Transformers. like 4. Downloads last month 503 GGUF. It achieves the following results on the evaluation set: Loss: 0. Aug 14, 2024 · pip install --upgrade transformers datasets[audio] accelerate bitsandbytes torch flash-attn soundfile huggingface-cli login mkdir whisper huggingface-cli download openai/whisper-large-v3 --local-dir ~/whisper --local-dir-use-symlinks False Whisper-Large-V3-Distil-French-v0. 99 languages. In this notebook, we will utilize the Whisper model provided by Whisper is a encoder-decoder (sequence-to-sequence) transformer pretrained on 680,000 hours of labeled audio data. Trained on >5M hours of labeled data, Whisper demonstrates a strong ability to generalise to many datasets and domains in Oct 1, 2024 · whisper. out-of-domain performance. Whisper large-v3 has the same architecture as the previous large models except the following minor differences: The input uses 128 Mel frequency bins instead of 80 Distil-Whisper: distil-small. The abstract from the paper is the following: Dec 17, 2024 · 我转换完没有显示字幕字幕是空的，怎么回事. 0. While Whisper models cannot be used for real-time transcription out of the box – their speed and size suggest that others may be able to build applications on top of them that allow for near-real-time speech recognition and translation. [^1] Setup. Scripts to re-run the experiment can be found bellow: whisper. cpp software written by Georgi Gerganov, et al. Users can choose to transcribe or translate the audio. Inference Nov 3, 2022 · In this blog, we present a step-by-step guide on fine-tuning Whisper for any multilingual ASR dataset using Hugging Face 🤗 Transformers. Whisper 模型由 Alec Radford、Jong Wook Kim NoneType] = None force_download: bool = False 一个字符串，即托管在 huggingface. 1185; Wer: 17. ct2-transformers-converter --model openai/whisper-large-v3 --output_dir faster-whisper-large-v3 \ --copy_files tokenizer. Apr 24, 2025 · huggingface-cli download bert-base-uncased --cache-dir bert-base-uncased. Model card Files Files and versions Community 119. Whisper is a state-of-the-art model for automatic speech recognition (ASR) and speech translation, proposed in the paper Robust Speech Recognition via Large-Scale Weak Supervision by Alec Radford et al. This type can be changed when the model is loaded using the compute_type option in CTranslate2. Users should refer to this superclass for more information regarding those methods. Model not found at: D:\桌面\文件夹\PotPlayer\Model\faster-whisper-tiny Nov 6, 2023 · Additionally, I have implemented the aforementioned filtering functionality in the whisper-webui-translate spaces on Hugging Face. It is a distilled version of the Whisper model that is 6 times faster, 49% smaller, and performs within 1% WER on out-of-distribution evaluation sets. 1. set_compute_type("float16") ``` 此部分描述了更快 Oct 21, 2024 · We’re on a journey to advance and democratize artificial intelligence through open source and open science. Anime Whisper 🤗🎤📝 Anime Whisper は、特に日本語のアニメ調演技セリフのドメインに特化した日本語音声認識モデルです。 このモデルは kotoba-whisper-v2. cpp，这是一个基于 OpenAI Whisper 模型的 C++ 实现，专为高效语音识别而设计。文章从克隆仓库、安装依赖、编译项目到下载模型文件，逐步指导用户完成配置。此外，还提供了如何使用 whisper. 声音提取. This amount of pretraining data enables zero-shot performance on audio tasks in English and many other languages. Trained on >5M hours of labeled data, Whisper demonstrates a strong ability to generalise to many datasets and domains in Mar 30, 2023 · I want to load this fine-tuned model using my existing Whisper installation. ct2-transformers-converter --model openai/whisper-small --output_dir faster-whisper-small \ --copy_files tokenizer. cache/huggingface. Example Whisper-Base-En: Optimized for Mobile Deployment Automatic speech recognition (ASR) model for English transcription as well as translation OpenAI’s Whisper ASR (Automatic Speech Recognition) model is a state-of-the-art system designed for transcribing spoken language into written text. Dec 12, 2024 · 下面是一个简单的例子展示如何加载 Faster Whisper Large-v3 模型并设置其计算类型为 FP16: ```python from faster_whisper import WhisperModel # 初始化模型 (large-v3 版本) model = WhisperModel("large-v3") # 将计算类型设为 float16 以提高效率 model. It is an optimized version of Whisper large-v3 and has only 4 decoder layers—just like the tiny model—down from the 32 Model Disk SHA; tiny: 75 MiB: bd577a113a864445d4c299885e0cb97d4ba92b5f: tiny-q5_1: 31 MiB: 2827a03e495b1ed3048ef28a6a4620537db4ee51: tiny-q8_0: 42 MiB v3 released, 70x speed-up open-sourced. bin") Faster-Whisper (CTranslate 2) The most efficient way of deploying the Whisper model is probably with the faster-whisper package. Using huggingface-cli: To download the "bert-base-uncased" model, simply run: $ huggingface-cli download bert-base-uncased Using snapshot_download in Python: Mar 21, 2024 · Distil-Whisper: distil-large-v3 for OpenAI Whisper This repository contains the model weights for distil-large-v3 converted to OpenAI Whisper format. This is especially useful for short audio. OpenAI's Whisper model is a cutting-edge automatic speech recognition (ASR) system designed to convert spoken language into text. Automatic Speech Recognition. Whisper large-v3 turbo model for CTranslate2 This repository contains the conversion of deepdml/whisper-large-v3-turbo to the CTranslate2 model format. Speech recognition with Whisper in MLX. You signed out in another tab or window. Mar 21, 2024 · Distil-Whisper: distil-large-v3 for Whisper cpp This repository contains the model weights for distil-large-v3 converted to GGML format. openai/whisper-large-v2. Note 1: This spaces is built based on the aadnk/whisper-webui version. Hardware compatibility. This model map provides information about a model based on Whisper Large v3 that has been fine-tuned for speech recognition in German. Apr 5, 2023 · You signed in with another tab or window. Trained on 680k hours of labelled data, Whisper models demonstrate a strong ability to generalise to many datasets and domains without the need for fine-tuning. 6439; Model description More information needed. 一个快速版本的 Whisper-large-v2 模型，用于轻量级的自然语言处理任务。 Clone or Download Clone/Download HTTPS SSH SVN SVN+SSH Download ZIP ct2-transformers-converter --model openai/whisper-large-v2 --output_dir faster-whisper-large-v2 \ --copy_files tokenizer. cpp and faster-whisper support the sequential long-form decoding, and only Huggingface pipeline supports the chunked long-form decoding, which we empirically found better than the sequnential long-form decoding. Create a virtual environment and install the necessary We’re on a journey to advance and democratize artificial intelligence through open source and open science. Roadmap Gather a bigger emotive speech dataset Dec 31, 2023 · 看了好几个文章没找到下载地址，翻了下python该模块的源码找到了~~其实要是自动下载好使的话就不需要手动下载了~看自己情况而定吧，本人自动下载没好使~~然后就正常执行指令就行，可惜本人的小测试服务器能力有限，跑不起来，内存不够~哎~还是夭折了，要是有好心人提供个可以外网请求连接 Transformers Usage Kotoba-Whisper is supported in the Hugging Face 🤗 Transformers library from version 4. Compared to the Whisper large model, the large-v2 model is trained for 2. Configuration objects inherit from PretrainedConfig and can be used to control the model outputs. If it is unspecified the model will download to HF_HOME if it is defined as an environment variable, otherwise it will default to ~/. KB-Whisper är helt gratis att ladda ner och använda från KB:s sida på plattformen Huggingface Länk till annan webbplats. cpp Whisper Whisper is a state-of-the-art model for automatic speech recognition (ASR) and speech translation, proposed in the paper Robust Speech Recognition via Large-Scale Weak Supervision by Alec Radford et al. More information Upload images, audio, and videos by dragging in the text input, pasting, or clicking here. 137s/sample for a CER of 7. First, install tools we will need to use May 30, 2023 · 目前开源的语音识别软件中，Openai Whisper绝对是霸主的存在，他在这方面的表现甚至超越了很多商用的产品，那么Openai Whisper对中文的支持如何呢，今天我们来简单测试一下。从上面的测试可以看出，对标准的普通话来说，识别已经相当成功了，同时最让我惊讶的 . WhisperDesktop是gui软件 已经整合了Whisper的命令, 可以比较低门槛容易的使用它配合模型就可以对视频进行听译得到字幕 1. json; config. 0, HuBERT, WavLM and others. 39k. 3573; Wer: 16. hf-asr-leaderboard. Download model from HuggingFace Hub; import huggingface_hub as hf_hub model_id = "OpenVINO/whisper-base-int8-ov" model_path = "whisper-base-int8-ov" hf_hub. Using batched whisper with faster-whisper backend! v2 released, code cleanup, imports whisper library VAD filtering is now turned on by default, as in the paper. co 的模型 How to use You can use this model directly with a pipeline. NB-Whisper is a cutting-edge series of models designed for automatic speech recognition (ASR) and speech translation. Compared to v0. Compared to previous Distil-Whisper releases, distil-large-v3 is specifically designed to be compatible with the OpenAI Whisper long-form transcription algorithm. License: mit. 211673 Wer: 18. This makes it the perfect drop-in replacement for existing Whisper pipelines, since the same outputs are guaranteed. This tutorial describes how to combine (use and finetune) pretrained models coming from the HuggingFace Transformers library including, for instance, Whisper, wav2vec 2. Whisper. Note: ID/OOD classification is based on distil-v3 and distil-v3. load_model() function, but it only accepts strings like "small", "base", e Sep 3, 2024 · Then, the model can be loaded from Whisper with whisper. For long-form transcriptions please use the code in the Long-form transcription section. cpp weight. 5 converted to OpenAI Whisper format. Model not found at: D:\桌面\文件夹\PotPlayer\Model\faster-whisper-tiny Sep 16, 2024 · openai/whisper. Distil-Whisper: distil-large-v2 Distil-Whisper was proposed in the paper Robust Knowledge Distillation via Large-Scale Pseudo Labelling. The abstract from the paper is the following: Whisper CPP Whisper CPP is a C++ implementation of the Whisper model, offering the same functionalities with the added benefits of C++ efficiency and performance optimizations. Using speculative decoding with alvanlii/whisper-small-cantonese, it runs at 0. Visit the OpenAI platform and download the Whisper model files. 16-bit F16. Download and Load model on local system. json ; preprocessor_config. Construct a “fast” Whisper tokenizer (backed by HuggingFace’s tokenizers library). json whisper-large-v2-spanish This model is a fine-tuned version of openai/whisper-large-v2 on the None dataset. 714s/sample for a CER of 7. We also introduce more efficient batch Fine-tuned whisper-medium model for ASR in French This model is a fine-tuned version of openai/whisper-medium, trained on a composite dataset comprising of over 2200 hours of French speech audio, using the train and the validation splits of Common Voice 11. GGML is the weight format expected by C/C++ packages such as Whisper. Your need to confirm your account before you can post a new comment. Robust Speech Recognition via Large-Scale Weak Supervision - openai/whisper Aug 12, 2024 · deepdml/faster-whisper-large-v3-turbo-ct2. Applications Model Details: INT8 Whisper large Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. ggerganov/whisper. Manual Download from the Hugging Face Website We anticipate that Whisper models’ transcription capabilities may be used for improving accessibility tools. Whisper is a powerful speech recognition platform developed by OpenAI. Unlike the original Whisper, which tends to omit disfluencies and follows more of a intended transcription style, CrisperWhisper aims to transcribe every spoken word exactly as it is Whisper-Large-v3 是一个大型语言模型，适用于处理各种自然语言处理和文本生成任务。 Clone or Download Clone/Download HTTPS SSH SVN SVN whisper-large-v3. More information Convert spoken words from microphone recordings, audio files, or YouTube videos into text. xet Be explicit about large model versions over 1 year ago; ggml-medium-encoder. from OpenAI. Finetuned this model 今天终于决定，装一下whisper试试。 模型可以在huggingface下载，前面参考文章里有，不赘述了。提醒一下的是，如果从huggingface上用下载的方式(非git clone)下载到的一些json 文件扩展名 是txt，需要改成json： added_tokens. cpp Uploaded a GGML bin file for Whisper cpp as of June 2024. Step 2: Set Up a Local Environment. In the original simonl0909/whisper-large-v2-cantonese model, it runs at 0. 0, Multilingual LibriSpeech, Voxpopuli, Fleurs, Multilingual TEDx, MediaSpeech, and African Accented French. Model card Files Files and versions Community 70. 0 をベースモデルとして、約5,300時間373万ファイルのアニメ調の音声・台本データセット Galgame_Speech_ASR_16kHz でファインチューニングしたものです。 Distil-Whisper can be used as an assistant model to Whisper for speculative decoding. More information Acknowledgements We acknowledge the EuroHPC Joint Undertaking for awarding this project access to the EuroHPC supercomputer LEONARDO, hosted by CINECA (Italy) and the LEONARDO consortium through an EuroHPC AI and Data-Intensive Applications Access call. Usage Dec 5, 2022 · whisper. Automatic Speech Recognition • Updated Oct 27, 2024 • 257k • 127 We anticipate that Whisper models’ transcription capabilities may be used for improving accessibility tools. cpp, for which we provide an example below. 0 dataset. by RebelloAlbina - opened Mar 11, 2024. This version extends the training to 30-second audio segments to maintain long-form transcription abilities. cpp 进行语音识别的具体命令，包括输出 SRT、VTT 和 TXT 格式的 We’re on a journey to advance and democratize artificial intelligence through open source and open science. Instantiating a configuration with the defaults will yield a similar configuration to that of the Whisper openai/whisper-tiny architecture. 39 onwards. Feb 23, 2025 · OpenAI的Whisper自动语音识别（ASR）模型的高性能推理： 无依赖关系的纯C/C++实现 Apple Silicon一流公民-通过ARM NEON、Accelerate框架、Metal和Core ML进行优化 对x86体系结构的AVX内部支持 对POWER体系结构的VSX内部支持 F16/F32混合精度 支持4位和5位整数量化 运行时内存分配为零 支持仅CPU推理 NVIDIA的高效GPU支持 Dec 17, 2024 · 我转换完没有显示字幕字幕是空的，怎么回事. Train Deploy Use this model main Whisper-Large-V3-French-Distil-Dec16 Whisper-Large-V3-French-Distil represents a series of distilled versions of Whisper-Large-V3-French, achieved by reducing the number of decoder layers from 32 to 16, 8, 4, or 2 and distilling using a large-scale dataset, as outlined in this paper. This tokenizer inherits from PreTrainedTokenizerFast which contains most of the main methods. sh/) brew install ffmpeg Install the mlx-whisper package with: pip install mlx-whisper Run CLI. mp3") print (result["text"]) Internally, the transcribe() method reads the entire file and processes the audio with a sliding 30-second window, performing autoregressive sequence-to-sequence predictions on each window. to execute or view/download this notebook on GitHub Fine-tuning or using Whisper, wav2vec2, HuBERT and others with SpeechBrain and HuggingFace . 开始转换. imkvpxzwvkcpdeehqqyjvspitlopojprbiqimomior