Instructions to use AdapterHub/roberta-base-pf-conll2000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/roberta-base-pf-conll2000 with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("roberta-base") model.load_adapter("AdapterHub/roberta-base-pf-conll2000", set_active=True) - Notebooks
- Google Colab
- Kaggle
| { | |
| "config": { | |
| "activation_function": "tanh", | |
| "head_type": "tagging", | |
| "label2id": { | |
| "O": 0, | |
| "B-ADJP": 1, | |
| "I-ADJP": 2, | |
| "B-ADVP": 3, | |
| "I-ADVP": 4, | |
| "B-CONJP": 5, | |
| "I-CONJP": 6, | |
| "B-INTJ": 7, | |
| "I-INTJ": 8, | |
| "B-LST": 9, | |
| "I-LST": 10, | |
| "B-NP": 11, | |
| "I-NP": 12, | |
| "B-PP": 13, | |
| "I-PP": 14, | |
| "B-PRT": 15, | |
| "I-PRT": 16, | |
| "B-SBAR": 17, | |
| "I-SBAR": 18, | |
| "B-UCP": 19, | |
| "I-UCP": 20, | |
| "B-VP": 21, | |
| "I-VP": 22 | |
| }, | |
| "layers": 1, | |
| "num_labels": 23 | |
| }, | |
| "hidden_size": 768, | |
| "model_class": "RobertaModelWithHeads", | |
| "model_name": "roberta-base", | |
| "model_type": "roberta", | |
| "name": "conll2000" | |
| } |