Feature Extraction
Transformers
Safetensors
English
lessvit
hyperspectral
remote-sensing
geospatial
vision-transformer
custom_code
Instructions to use GFM-Bench/LESSViT-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GFM-Bench/LESSViT-Base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="GFM-Bench/LESSViT-Base", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("GFM-Bench/LESSViT-Base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from GFM-Bench/LESSViT-Base: direct link, hf CLI and curl.
- Browser
- Download file 333 MB
-
https://huggingface.co/GFM-Bench/LESSViT-Base/resolve/main/model.safetensors
- Command line
-
hf download hf://GFM-Bench/LESSViT-Base/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/GFM-Bench/LESSViT-Base/resolve/main/model.safetensors
333 MB
- Xet hash:
- b633037e7cf6a4d48411ebcf28fcdffb8e25c170bff61e43c2e04d9c352386b7
- Size of remote file:
- 333 MB
- SHA256:
- 935719728265cf0765b32afe634803ab73071025f104c1c708b98142488b8311
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