Instructions to use sharkMeow/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sharkMeow/test with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("sharkMeow/test") model = AutoModel.from_pretrained("sharkMeow/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ee1bea545a9a7435fd2a654a8907716ccc01b8783c8bfe43ab690f97df36283
- Size of remote file:
- 818 MB
- SHA256:
- 6b948aead010d599947f2c293f10422cef455845810249bc0cc6e1a1072d6c00
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