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:
- b8260565cc9d9b17b664ca4f6f2d9807fd56295ae69c9af8feec60c7348ffebb
- Size of remote file:
- 627 Bytes
- SHA256:
- b02d22c5410f1ac7bfee5d71bd9a235106decbb02dd8714dc500073fbb503575
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