Instructions to use Mayfull/CLIP_VLTopKSAE_6_4_6_GS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mayfull/CLIP_VLTopKSAE_6_4_6_GS with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import VLTopKSAE model = VLTopKSAE.from_pretrained("Mayfull/CLIP_VLTopKSAE_6_4_6_GS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Mayfull/CLIP_VLTopKSAE_6_4_6_GS: direct link, hf CLI and curl.
- Browser
- Download file 5.97 kB
-
https://huggingface.co/Mayfull/CLIP_VLTopKSAE_6_4_6_GS/resolve/main/training_args.bin
- Command line
-
hf download hf://Mayfull/CLIP_VLTopKSAE_6_4_6_GS/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Mayfull/CLIP_VLTopKSAE_6_4_6_GS/resolve/main/training_args.bin
5.97 kB
- Xet hash:
- 2b080a19321bea4498d2d3de7fec217ba5cf57b0c847d25f8a611b3e838c5831
- Size of remote file:
- 5.97 kB
- SHA256:
- 89e520c603bc178a1ff0e6992903dc543ead03d40f5e4d8d2857ff8516764464
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