Instructions to use LucasWeber/id_token_bert_odds_LMentry with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LucasWeber/id_token_bert_odds_LMentry with Transformers:
# Load model directly from transformers import MultiLabelRaschModel_ID_tokens model = MultiLabelRaschModel_ID_tokens.from_pretrained("LucasWeber/id_token_bert_odds_LMentry", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "MultiLabelRaschModel_ID_tokens" | |
| ], | |
| "base_model": "bert-base-uncased", | |
| "bias": false, | |
| "cls": false, | |
| "d": 25, | |
| "example_token_lookup": {}, | |
| "model_type": "id_token_bert", | |
| "n_examples": 900, | |
| "n_llms": 8, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.41.2" | |
| } | |