Instructions to use AdapterHub/m2qa-xlm-roberta-base-mad-x-2-qa-head with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/m2qa-xlm-roberta-base-mad-x-2-qa-head with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("xlm-roberta-base") model.load_adapter("AdapterHub/m2qa-xlm-roberta-base-mad-x-2-qa-head", set_active=True) - Notebooks
- Google Colab
- Kaggle
| { | |
| "config": { | |
| "activation_function": "tanh", | |
| "head_type": "question_answering", | |
| "label2id": { | |
| "LABEL_0": 0, | |
| "LABEL_1": 1 | |
| }, | |
| "layers": 1, | |
| "num_labels": 2 | |
| }, | |
| "hidden_size": 768, | |
| "model_class": "XLMRobertaAdapterModel", | |
| "model_name": "xlm-roberta-base", | |
| "model_type": "xlm-roberta", | |
| "name": "mad-x-2-qa_adapter", | |
| "version": "3.2.1" | |
| } |