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 pytorch_model.bin from YYSH/Test-demo-colab: direct link, hf CLI and curl.
- Browser
- Download file 378 MB
-
https://huggingface.co/YYSH/Test-demo-colab/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://YYSH/Test-demo-colab/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/YYSH/Test-demo-colab/resolve/main/pytorch_model.bin
378 MB
- Xet hash:
- 9067280a44f0c97f801e41b428d7e73b700362838879931c74387f49f2077d3e
- Size of remote file:
- 378 MB
- SHA256:
- 9483e70a55fdab08d69d898c91b54d021595470a944e205b9de115e1d3d4fdae
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