Instructions to use BigTMiami/first_test_adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use BigTMiami/first_test_adapter with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("roberta-base") model.load_adapter("BigTMiami/first_test_adapter", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download head_config.json from BigTMiami/first_test_adapter: direct link, hf CLI and curl.
- Browser
- Download file 416 Bytes
-
https://huggingface.co/BigTMiami/first_test_adapter/resolve/main/head_config.json
- Command line
-
hf download hf://BigTMiami/first_test_adapter/head_config.json
-
curl -L -o head_config.json https://huggingface.co/BigTMiami/first_test_adapter/resolve/main/head_config.json
416 Bytes
| { | |
| "config": { | |
| "activation_function": "gelu", | |
| "bias": true, | |
| "embedding_size": 768, | |
| "head_type": "masked_lm", | |
| "label2id": null, | |
| "layer_norm": true, | |
| "layers": 2, | |
| "shift_labels": false, | |
| "vocab_size": 50265 | |
| }, | |
| "hidden_size": 768, | |
| "model_class": "RobertaAdapterModel", | |
| "model_name": "roberta-base", | |
| "model_type": "roberta", | |
| "name": "masked_lm_test", | |
| "version": "0.1.2" | |
| } |