Instructions to use Bokhbat/extractive_summarization_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bokhbat/extractive_summarization_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Bokhbat/extractive_summarization_model", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "SentenceImportanceModel" | |
| ], | |
| "base_model_name": "bert-base-uncased", | |
| "classifier_dropout": 0.1, | |
| "classifier_hidden_size": 256, | |
| "hidden_size": 768, | |
| "model_type": "text_summarizer", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.48.2" | |
| } | |