Instructions to use TheRamsay/wav2vec2-large-cs-colab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheRamsay/wav2vec2-large-cs-colab with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="TheRamsay/wav2vec2-large-cs-colab")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("TheRamsay/wav2vec2-large-cs-colab") model = AutoModelForCTC.from_pretrained("TheRamsay/wav2vec2-large-cs-colab") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files- added_tokens.json +2 -2
- tokenizer_config.json +4 -4
- vocab.json +18 -21
added_tokens.json
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tokenizer_config.json
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vocab.json
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