Instructions to use MOSS550V/divination with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MOSS550V/divination with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="MOSS550V/divination", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MOSS550V/divination", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44bb24906426bbe86668689aa6daf76a068f347de21379e6863a546adba63b9f
- Size of remote file:
- 3.71 kB
- SHA256:
- 437b2d160174e34cf72ee8fe73c0329455490f24173356026877db3104ff431e
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