Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
speech-encoder-decoder
librispeech_asr
Generated from Trainer
asr_seq2esq
Instructions to use patrickvonplaten/wav2vec2-2-bart-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use patrickvonplaten/wav2vec2-2-bart-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="patrickvonplaten/wav2vec2-2-bart-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSpeechSeq2Seq tokenizer = AutoTokenizer.from_pretrained("patrickvonplaten/wav2vec2-2-bart-base") model = AutoModelForSpeechSeq2Seq.from_pretrained("patrickvonplaten/wav2vec2-2-bart-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
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by librarian-bot - opened
README.md
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- librispeech_asr
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- generated_from_trainer
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- asr_seq2esq
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model-index:
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- name: wav2vec2-2-bart-base
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results: []
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widget:
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- example_title: Librispeech sample 1
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src: https://cdn-media.huggingface.co/speech_samples/sample1.flac
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src: https://cdn-media.huggingface.co/speech_samples/sample2.flac
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- example_title: Common Voice sample
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src: https://cdn-media.huggingface.co/speech_samples/common_voice_en_18301577.mp3
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---
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To rerun this experiment, please clone this directory and run:
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- librispeech_asr
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- generated_from_trainer
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- asr_seq2esq
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widget:
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- example_title: Librispeech sample 1
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src: https://cdn-media.huggingface.co/speech_samples/sample1.flac
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src: https://cdn-media.huggingface.co/speech_samples/sample2.flac
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- example_title: Common Voice sample
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src: https://cdn-media.huggingface.co/speech_samples/common_voice_en_18301577.mp3
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base_model: facebook/wav2vec2-base
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model-index:
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- name: wav2vec2-2-bart-base
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results: []
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---
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To rerun this experiment, please clone this directory and run:
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