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 tokenizer/tokenizer.json from beva/beavers-dam: direct link, hf CLI and curl.
- Browser
- Download file 771 kB
-
https://huggingface.co/beva/beavers-dam/resolve/main/tokenizer/tokenizer.json
- Command line
-
hf download hf://beva/beavers-dam/tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/beva/beavers-dam/resolve/main/tokenizer/tokenizer.json
771 kB
File too large to display, you can check the raw version instead.