Robotics
Transformers
ONNX
Safetensors
PyTorch
fingernet
feature-extraction
asfinger
multimodal
custom_code
Instructions to use prosoro/fingernet-surf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prosoro/fingernet-surf with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("prosoro/fingernet-surf", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_name_or_path": "asRobotics/fingernet-surf", | |
| "architectures": ["FingerNetSurf"], | |
| "model_type": "fingernet", | |
| "x_dim": [6], | |
| "y_dim": [6, 1803], | |
| "h1_dim": [100, 1000], | |
| "h2_dim": [100, 1000], | |
| "dtype": "float32", | |
| "layer_norm": false, | |
| "use_activation": "relu", | |
| "auto_map": { | |
| "AutoConfig": "modeling.FingerNetConfig", | |
| "AutoModel": "modeling.FingerNetSurf" | |
| } | |
| } | |