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 training_args.bin from willcai/wav2vec2_common_voice_accents_5: direct link, hf CLI and curl.
- Browser
- Download file 3.12 kB
-
https://huggingface.co/willcai/wav2vec2_common_voice_accents_5/resolve/main/training_args.bin
- Command line
-
hf download hf://willcai/wav2vec2_common_voice_accents_5/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/willcai/wav2vec2_common_voice_accents_5/resolve/main/training_args.bin
3.12 kB
- Xet hash:
- f0817802ed5e5b7baa34ec54fa595eab14b03d9628bb7cd563c4698d98e2c61a
- Size of remote file:
- 3.12 kB
- SHA256:
- 7d0e5112a3d0085eb1205ba34520e0df31c92a24402487402f5ba3c1d67a93fb
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