Instructions to use YYSH/Test-demo-colab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YYSH/Test-demo-colab with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="YYSH/Test-demo-colab")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("YYSH/Test-demo-colab") model = AutoModelForCTC.from_pretrained("YYSH/Test-demo-colab", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from YYSH/Test-demo-colab: direct link, hf CLI and curl.
- Browser
- Download file 2.99 kB
-
https://huggingface.co/YYSH/Test-demo-colab/resolve/main/training_args.bin
- Command line
-
hf download hf://YYSH/Test-demo-colab/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/YYSH/Test-demo-colab/resolve/main/training_args.bin
2.99 kB
- Xet hash:
- 70b2c2b7da3da603a559f7330b6f65cbf7bf35ca9b71defe09fcc5cf40b183e6
- Size of remote file:
- 2.99 kB
- SHA256:
- 3c0a3afd30a280847b3a400957d50e339d6b30a1a0d1fc1e804a6a6311af3baa
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