Instructions to use Kowsher/L-Tuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kowsher/L-Tuning with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Kowsher/L-Tuning", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_name_or_path": null, | |
| "hidden_dropout": 0.0, | |
| "hidden_size": null, | |
| "n_head": null, | |
| "num_hidden_layers": null, | |
| "model_type": "bloom", | |
| "pre_seq_len": null, | |
| "pooling": false, | |
| "num_labels": 2, | |
| "cls_token_id": null, | |
| "sep_token_id": null, | |
| "problem_type": "single_label_classification", | |
| "transformers_version": "4.35.2" | |
| } | |