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: 126 Bytes
586325c | 1 2 3 4 5 6 7 8 | torch==2.7.1 torchvision==0.22.1 transformers==4.53.3 huggingface-hub==0.34.4 timm==1.0.18 numpy==2.2.6 safetensors>=0.4.3,<1 |