Instructions to use ShengdingHu/bitfit_roberta-base_rte with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShengdingHu/bitfit_roberta-base_rte with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ShengdingHu/bitfit_roberta-base_rte", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "backbone_checkpoint_name": "roberta-base", | |
| "backbone_class": "RobertaForSequenceClassification", | |
| "backbone_hash": "ceb39771623f5c64f1bd583c5dc7a821", | |
| "common_structure": true, | |
| "delta_type": "bitfit", | |
| "modified_modules": [ | |
| "attn", | |
| "ff" | |
| ], | |
| "opendelta_version": "0.0.1", | |
| "transformers_version": "4.16.0.dev0" | |
| } | |