Instructions to use gngpostalsrvc/w2v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gngpostalsrvc/w2v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="gngpostalsrvc/w2v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("gngpostalsrvc/w2v2") model = AutoModelForCTC.from_pretrained("gngpostalsrvc/w2v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Added from wav2vec2 base model (#3)
- Added from wav2vec2 base model (518c1ee152e00450fd24ee947c6ba2d3e4122b2d) Co-authored-by: Ponniah Kameswaran <pokameswaran@users.noreply.huggingface.co>37cab37 -
Added tokenizer from wav2vec2 base model (#1)
- Added tokenizer from wav2vec2 base model (82fee0caf7340769916963f532efff45a69ecf7a) Co-authored-by: Ponniah Kameswaran <pokameswaran@users.noreply.huggingface.co>18546b8
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update model card README.md
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End of training
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Training in progress, step 500
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initial commit
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