Image Feature Extraction
Transformers
Safetensors
English
gr_lite
fashion
image-retrieval
vision-transformer
dino
custom_code
Instructions to use srpone/gr-lite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use srpone/gr-lite with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="srpone/gr-lite", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("srpone/gr-lite", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download gr_lite.pt from srpone/gr-lite: direct link, hf CLI and curl.
- Browser
- Download file 1.21 GB
-
https://huggingface.co/srpone/gr-lite/resolve/main/gr_lite.pt
- Command line
-
hf download hf://srpone/gr-lite/gr_lite.pt
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curl -L -o gr_lite.pt https://huggingface.co/srpone/gr-lite/resolve/main/gr_lite.pt
1.21 GB
- Xet hash:
- 29129f8dfe748b51998e4b6814f8aa11ec6c150a55a76bc70b5e1b9ab1ab00ec
- Size of remote file:
- 1.21 GB
- SHA256:
- 40ec331c18ed881f7b3c368f706a6e0eb9ab9d19c31265dfac10b19525251408
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