Instructions to use epfl-ml4ed/MCQBert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use epfl-ml4ed/MCQBert with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("epfl-ml4ed/MCQBert", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| from transformers import BertConfig | |
| class MCQBertConfig(BertConfig): | |
| model_type = "mcqbert" | |
| def __init__(self, integration_strategy=None, student_embedding_size=4096, cls_hidden_size=256, **kwargs): | |
| super().__init__(**kwargs) | |
| self.integration_strategy = integration_strategy | |
| self.student_embedding_size = student_embedding_size | |
| self.cls_hidden_size = cls_hidden_size |