Instructions to use willcai/wav2vec2_common_voice_accents_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use willcai/wav2vec2_common_voice_accents_5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="willcai/wav2vec2_common_voice_accents_5")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("willcai/wav2vec2_common_voice_accents_5") model = AutoModelForCTC.from_pretrained("willcai/wav2vec2_common_voice_accents_5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from willcai/wav2vec2_common_voice_accents_5: direct link, hf CLI and curl.
- Browser
- Download file 1.26 GB
-
https://huggingface.co/willcai/wav2vec2_common_voice_accents_5/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://willcai/wav2vec2_common_voice_accents_5/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/willcai/wav2vec2_common_voice_accents_5/resolve/main/pytorch_model.bin
1.26 GB
- Xet hash:
- 955f5c01708746a2aa71840257c6e36493914ad7f2984c0d326271773fdd20d5
- Size of remote file:
- 1.26 GB
- SHA256:
- eda44fe4abb8bb55366d74dbdb990edf8bfa1a6548f48c1351d23fe9ab3a05de
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