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
File size: 385 Bytes
586325c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"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
}
|