Instructions to use flavour/clipmean-dinov2-small-bge-small-en-v1-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flavour/clipmean-dinov2-small-bge-small-en-v1-5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="flavour/clipmean-dinov2-small-bge-small-en-v1-5", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("flavour/clipmean-dinov2-small-bge-small-en-v1-5", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 178c777e23e9cf50ff78975c42de63e4205e7f8a0750c9e7cf70660d592cdd7c
- Size of remote file:
- 223 MB
- SHA256:
- 28e0a3684bb2930013f5c5f142a38ce1936aab3ba4180774d6f240a0ccbd04e0
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