Instructions to use beva/beavers-dam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use beva/beavers-dam with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("beva/beavers-dam", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from beva/beavers-dam: direct link, hf CLI and curl.
- Browser
- Download file 90 Bytes
-
https://huggingface.co/beva/beavers-dam/resolve/refs%2Fpr%2F1/generation_config.json
- Command line
-
hf download hf://beva/beavers-dam@refs/pr/1/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/beva/beavers-dam/resolve/refs%2Fpr%2F1/generation_config.json
90 Bytes
| { | |
| "_from_model_config": true, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.28.1" | |
| } | |