Instructions to use nmndeep/CLIC-ViT-B-32-224-CogVLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use nmndeep/CLIC-ViT-B-32-224-CogVLM with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:nmndeep/CLIC-ViT-B-32-224-CogVLM') tokenizer = open_clip.get_tokenizer('hf-hub:nmndeep/CLIC-ViT-B-32-224-CogVLM') - Notebooks
- Google Colab
- Kaggle
Download open_clip_pytorch_model.bin from nmndeep/CLIC-ViT-B-32-224-CogVLM: direct link, hf CLI and curl.
- Browser
- Download file 605 MB
-
https://huggingface.co/nmndeep/CLIC-ViT-B-32-224-CogVLM/resolve/main/open_clip_pytorch_model.bin
- Command line
-
hf download hf://nmndeep/CLIC-ViT-B-32-224-CogVLM/open_clip_pytorch_model.bin
-
curl -L -o open_clip_pytorch_model.bin https://huggingface.co/nmndeep/CLIC-ViT-B-32-224-CogVLM/resolve/main/open_clip_pytorch_model.bin
605 MB
- Xet hash:
- f1591d6270a5685a82b2e2496809f1b1164fe35499c74245429577f3360f591c
- Size of remote file:
- 605 MB
- SHA256:
- d4ebcdbdf4c78f6fa779ed28153a5050891810905c956f7a984ef43deff4aecf
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