pipeline(管道)是huggingface transformers库中一种极简方式使用大模型推理的抽象,将所有大模型分为音频(Audio)、计算机视觉(Computer vision)、自然语言处理(NLP)、多模态(Multimodal)等4大类,28小类任务(tasks),共计覆盖32万个模型。 今天介绍Audio音频的第二篇,自动语音识别(automatic-speech-recognition),在huggingface...
一、引言 pipeline(管道)是huggingface transformers库中一种极简方式使用大模型推理的抽象,将所有大模型分为音频(Audio)、计算机视觉(Computer vision)、自然语言处理(NLP)、多模态(Multimodal)等4大类,28小类任务(tasks),共计覆盖32万个模型。 今天介绍Audio音频的第二篇,自动语音识别(automatic-speech-recognition),...
HuggingFace Demo:https://huggingface.co/spaces/shibing624/parrots run example:examples/tts_gradio_demo.pyto see the demo: python examples/tts_gradio_demo.py Usage ASR(Speech Recognition) example:examples/demo_asr.py importosimportsyssys.path.append('..')fromparrotsimportSpeechRecognitionpwd_path=...
I have selected HuggingFace model, model_id facebook/nllb-200-distilled-600M in model config and hit Transcribe. After this I get following error TypeError: AutomaticSpeechRecognitionPipeline.__init__() missing 1 required positional argument: 'feature_extractor' Traceback: File "C:\Users\gadel...
The third cell imports the HuggingFace WER evaluation metric. Set the third cell to:### CELL 3: Load WER metric ### wer_metric = load_metric("wer") As mentioned earlier, WER will be used to measure the performance of the model on evaluation/holdout data....
model_id="huggingface-asr-whisper-large-v2" Retrieve artifacts and deploy an endpoint Using SageMaker, you can perform inference on the pre-trained model, even without fine-tuning it first on a new dataset. To host the pre-trained model, create an instance ofsagema...
sequence length Batch size Learning rate # Epochs 1024 24 3e−5 25 1024 24 3e−5 6 3 https://www.kaggle.com/ahmedabelal/arabic-poetry 4 https://www.aldiwan.net 5 https://huggingface.co/ "Effectiveness of Zero-shot Models in Automatic Arabic Poem Generation", M. El G. Beheit ...
model_id="huggingface-asr-whisper-large-v2" Retrieve artifacts and deploy an endpoint Using SageMaker, you can perform inference on the pre-trained model, even without fine-tuning it first on a new dataset. To host the pre-trained model, create an instance ofsagema...
If you are multilingual, a major way you can contribute to this project is to find phoneme models on huggingface (or train your own) and test them on speech for the target language. If the results look good send a pull request and some examples showing its success. Bug finding and pull...
PyThaiASR is a Python package for Automatic Speech Recognition with focus on Thai language. It have offline thai automatic speech recognition model. License:Apache-2.0 License Google Colab:Link Google colab Model homepage:https://huggingface.co/airesearch/wav2vec2-large-xlsr-53-th ...