Instructions to use 229nagibator229/theia-small-patch16-224-cdiv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 229nagibator229/theia-small-patch16-224-cdiv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="229nagibator229/theia-small-patch16-224-cdiv", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("229nagibator229/theia-small-patch16-224-cdiv", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 427c628c9170aecfb89856c87c9762dcac7c37a37df27087058f6819e995cda5
- Size of remote file:
- 147 MB
- SHA256:
- 2f572b0e3c9e738de5ef94918cd585613da7b7a9f96f6d0929676a4002da1225
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