Instructions to use Coletomyo/TomYo_Voice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Coletomyo/TomYo_Voice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Coletomyo/TomYo_Voice")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Coletomyo/TomYo_Voice") model = AutoModelForSpeechSeq2Seq.from_pretrained("Coletomyo/TomYo_Voice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Coletomyo/TomYo_Voice: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/Coletomyo/TomYo_Voice/resolve/main/training_args.bin
- Command line
-
hf download hf://Coletomyo/TomYo_Voice/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/Coletomyo/TomYo_Voice/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- 2ece48ade7aaa02496244e8edfc28797ec620106ebb63a387ee07ce99cdfbc6e
- Size of remote file:
- 5.05 kB
- SHA256:
- 3b8ecea9a8e02ee9197ae3d6792e4631a09c7a37ce66c91c04471d5e35a9b3e1
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