Instructions to use Spacyzipa/sam11111 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Spacyzipa/sam11111 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Spacyzipa/sam11111", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e17f5ed3380c363d9acae063deb4a7a51821747e3abc63c94d9b95f1fa50db13
- Size of remote file:
- 858 MB
- SHA256:
- 969602ac77df74ba9dee8f7a870fac24553f709b4ab9e3180667186e75ea2f8e
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