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
File size: 284 Bytes
8e15c66 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"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"
}
|