Instructions to use reginaboateng/BioBERT_adapter_ner_pico_for_classification_task with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use reginaboateng/BioBERT_adapter_ner_pico_for_classification_task with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("dmis-lab/biobert-v1.1") model.load_adapter("reginaboateng/BioBERT_adapter_ner_pico_for_classification_task", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download head_config.json from reginaboateng/BioBERT_adapter_ner_pico_for_classification_task: direct link, hf CLI and curl.
- Browser
- Download file 303 Bytes
-
https://huggingface.co/reginaboateng/BioBERT_adapter_ner_pico_for_classification_task/resolve/main/head_config.json
- Command line
-
hf download hf://reginaboateng/BioBERT_adapter_ner_pico_for_classification_task/head_config.json
-
curl -L -o head_config.json https://huggingface.co/reginaboateng/BioBERT_adapter_ner_pico_for_classification_task/resolve/main/head_config.json
303 Bytes
| { | |
| "config": null, | |
| "hidden_size": 768, | |
| "label2id": { | |
| "LABEL_0": 0, | |
| "LABEL_1": 1, | |
| "LABEL_2": 2, | |
| "LABEL_3": 3 | |
| }, | |
| "model_class": "BertForTokenClassification", | |
| "model_name": "dmis-lab/biobert-v1.1", | |
| "model_type": "bert", | |
| "name": null, | |
| "num_labels": 4, | |
| "version": "3.2.1" | |
| } |