Instructions to use kosamit/ccbeta-base-clone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kosamit/ccbeta-base-clone with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kosamit/ccbeta-base-clone")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("kosamit/ccbeta-base-clone") model = AutoModelForSpeechSeq2Seq.from_pretrained("kosamit/ccbeta-base-clone", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kosamit/ccbeta-base-clone: direct link, hf CLI and curl.
- Browser
- Download file 4.22 kB
-
https://huggingface.co/kosamit/ccbeta-base-clone/resolve/main/training_args.bin
- Command line
-
hf download hf://kosamit/ccbeta-base-clone/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kosamit/ccbeta-base-clone/resolve/main/training_args.bin
4.22 kB
- Xet hash:
- 92736b7a0e61917e96be5b1c6bd4e73ab2a84b65cd8fcb74529424aa33521486
- Size of remote file:
- 4.22 kB
- SHA256:
- de51367ff9e515ccab9890b1ef4f6441f01278ae612f790e6369bf8f7889d65d
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