Instructions to use Mayfull/Llava_Next_VLTopKSAE_20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mayfull/Llava_Next_VLTopKSAE_20 with Transformers:
# Load model directly from transformers import VLTopKSAE model = VLTopKSAE.from_pretrained("Mayfull/Llava_Next_VLTopKSAE_20", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Mayfull/Llava_Next_VLTopKSAE_20: direct link, hf CLI and curl.
- Browser
- Download file 5.97 kB
-
https://huggingface.co/Mayfull/Llava_Next_VLTopKSAE_20/resolve/main/training_args.bin
- Command line
-
hf download hf://Mayfull/Llava_Next_VLTopKSAE_20/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Mayfull/Llava_Next_VLTopKSAE_20/resolve/main/training_args.bin
5.97 kB
- Xet hash:
- 0e4a22a1148d40746b0ac3854d930720efa7687179207efb4b41e37954ae891f
- Size of remote file:
- 5.97 kB
- SHA256:
- 495c6cda98e2fcbc311e5c639eac448a24c9a8b2748e350ca2acd5b01079ba31
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