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:
- 40b2232922dd79290757028d1329c8f69e4c287684942b91381458ce3a295ccb
- Size of remote file:
- 235 MB
- SHA256:
- a8f2329a930141736463fa4aea96a5b01fcc695b47bcb18809a56893b1f397ef
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