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 validation.json from GFM-Bench/LESSViT-Base: direct link, hf CLI and curl.
- Browser
- Download file 385 Bytes
-
https://huggingface.co/GFM-Bench/LESSViT-Base/resolve/main/validation.json
- Command line
-
hf download hf://GFM-Bench/LESSViT-Base/validation.json
-
curl -L -o validation.json https://huggingface.co/GFM-Bench/LESSViT-Base/resolve/main/validation.json
385 Bytes
| { | |
| "encoder_parameters": 83219328, | |
| "verified_tensors": 543, | |
| "remapped_tensors": 408, | |
| "output_shape": [ | |
| 1, | |
| 11, | |
| 5, | |
| 768 | |
| ], | |
| "auto_model_loading_info": { | |
| "missing_keys": [], | |
| "unexpected_keys": [], | |
| "mismatched_keys": [], | |
| "error_msgs": [] | |
| }, | |
| "forward_exact_match": true, | |
| "encoder_backward": "passed", | |
| "original_checkpoint_preserved": true | |
| } | |