Instructions to use addy0606/cognitive-offloading with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use addy0606/cognitive-offloading with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("addy0606/cognitive-offloading", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download classifier_v1/config.json from addy0606/cognitive-offloading: direct link, hf CLI and curl.
- Browser
- Download file 292 Bytes
-
https://huggingface.co/addy0606/cognitive-offloading/resolve/main/classifier_v1/config.json
- Command line
-
hf download hf://addy0606/cognitive-offloading/classifier_v1/config.json
-
curl -L -o config.json https://huggingface.co/addy0606/cognitive-offloading/resolve/main/classifier_v1/config.json
292 Bytes
| { | |
| "model_name": "microsoft/deberta-base", | |
| "hidden_size": 768, | |
| "num_labels": 2, | |
| "head_hidden_dims": [ | |
| 256, | |
| 64 | |
| ], | |
| "dropout": 0.1, | |
| "max_length": 256, | |
| "learning_rate": 2e-05, | |
| "batch_size": 16, | |
| "epochs": 3, | |
| "weight_decay": 0.01, | |
| "warmup_ratio": 0.1 | |
| } |