Instructions to use Ramnathan/wav2vec2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ramnathan/wav2vec2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Ramnathan/wav2vec2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Ramnathan/wav2vec2") model = AutoModelForCTC.from_pretrained("Ramnathan/wav2vec2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Create special_tokens_map.json
Browse files- special_tokens_map.json +1 -0
special_tokens_map.json
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{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}
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