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:
- 5c8e14262e4d58c9d96cf27fc08d84547bd1ce69d767c7a382471de86661564d
- Size of remote file:
- 117 MB
- SHA256:
- ed714dfc29e13217b6ce752655b344db32697ffdd7e3238b0d75c4443d510674
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