Instructions to use intanm/clickbaitspoiling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use intanm/clickbaitspoiling with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("bert-base-multilingual-cased") model.load_adapter("intanm/clickbaitspoiling", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download head_config.json from intanm/clickbaitspoiling: direct link, hf CLI and curl.
- Browser
- Download file 272 Bytes
-
https://huggingface.co/intanm/clickbaitspoiling/resolve/main/head_config.json
- Command line
-
hf download hf://intanm/clickbaitspoiling/head_config.json
-
curl -L -o head_config.json https://huggingface.co/intanm/clickbaitspoiling/resolve/main/head_config.json
272 Bytes
| { | |
| "config": null, | |
| "hidden_size": 768, | |
| "label2id": { | |
| "LABEL_0": 0, | |
| "LABEL_1": 1 | |
| }, | |
| "model_class": "BertForQuestionAnswering", | |
| "model_name": "bert-base-multilingual-cased", | |
| "model_type": "bert", | |
| "name": null, | |
| "num_labels": 2, | |
| "version": "3.2.1" | |
| } |