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")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("gngpostalsrvc/w2v2") model = AutoModelForCTC.from_pretrained("gngpostalsrvc/w2v2") - Notebooks
- Google Colab
- Kaggle
Added tokenizer from wav2vec2 base model
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by pokameswaran - opened
- tokenizer_config.json +1 -0
tokenizer_config.json
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{"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "pad_token": "<pad>", "do_lower_case": false, "return_attention_mask": true, "do_normalize": true}
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