Instructions to use monsoon-nlp/eyegazer-vit-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use monsoon-nlp/eyegazer-vit-binary with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download adapter_config.json from monsoon-nlp/eyegazer-vit-binary: direct link, hf CLI and curl.
- Browser
- Download file 619 Bytes
-
https://huggingface.co/monsoon-nlp/eyegazer-vit-binary/resolve/main/adapter_config.json
- Command line
-
hf download hf://monsoon-nlp/eyegazer-vit-binary/adapter_config.json
-
curl -L -o adapter_config.json https://huggingface.co/monsoon-nlp/eyegazer-vit-binary/resolve/main/adapter_config.json
619 Bytes
| { | |
| "alpha_pattern": {}, | |
| "auto_mapping": { | |
| "base_model_class": "ViTForImageClassification", | |
| "parent_library": "transformers.models.vit.modeling_vit" | |
| }, | |
| "base_model_name_or_path": "google/vit-large-patch16-224", | |
| "bias": "none", | |
| "fan_in_fan_out": false, | |
| "inference_mode": true, | |
| "init_lora_weights": true, | |
| "layers_pattern": null, | |
| "layers_to_transform": null, | |
| "lora_alpha": 16, | |
| "lora_dropout": 0.1, | |
| "modules_to_save": [ | |
| "classifier" | |
| ], | |
| "peft_type": "LORA", | |
| "r": 16, | |
| "rank_pattern": {}, | |
| "revision": null, | |
| "target_modules": [ | |
| "value", | |
| "query" | |
| ], | |
| "task_type": null | |
| } |