Instructions to use Coletomyo/TomYo_Whisper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Coletomyo/TomYo_Whisper with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Coletomyo/TomYo_Whisper")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Coletomyo/TomYo_Whisper") model = AutoModelForSpeechSeq2Seq.from_pretrained("Coletomyo/TomYo_Whisper", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Coletomyo/TomYo_Whisper: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/Coletomyo/TomYo_Whisper/resolve/main/training_args.bin
- Command line
-
hf download hf://Coletomyo/TomYo_Whisper/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/Coletomyo/TomYo_Whisper/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- acff24d5b27c81afc8f05228e4f80c63fd45efc934eb6298c3c7ff593b0ffca2
- Size of remote file:
- 5.11 kB
- SHA256:
- 0d08e5d4229b0a87818a6a4d6e95fff1b851bf21dddae0b52457189c7f02f915
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