Instructions to use flavour/clipnorm-dinov2-small-bge-small-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flavour/clipnorm-dinov2-small-bge-small-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="flavour/clipnorm-dinov2-small-bge-small-en", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("flavour/clipnorm-dinov2-small-bge-small-en", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from flavour/clipnorm-dinov2-small-bge-small-en: direct link, hf CLI and curl.
- Browser
- Download file 223 MB
-
https://huggingface.co/flavour/clipnorm-dinov2-small-bge-small-en/resolve/main/model.safetensors
- Command line
-
hf download hf://flavour/clipnorm-dinov2-small-bge-small-en/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/flavour/clipnorm-dinov2-small-bge-small-en/resolve/main/model.safetensors
223 MB
- Xet hash:
- 42b078cf4bced34cea34dc7dbf805513289aa501a3e9a7f4d0e92d78e3744889
- Size of remote file:
- 223 MB
- SHA256:
- c8c1a74eb8ad11a602187aec925f1a8efadeadd307c78ddb22afc032aa2cf508
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