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/special_tokens_map.json from beva/beavers-dam: direct link, hf CLI and curl.
- Browser
- Download file 125 Bytes
-
https://huggingface.co/beva/beavers-dam/resolve/main/tokenizer/special_tokens_map.json
- Command line
-
hf download hf://beva/beavers-dam/tokenizer/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/beva/beavers-dam/resolve/main/tokenizer/special_tokens_map.json
125 Bytes
| { | |
| "cls_token": "[CLS]", | |
| "mask_token": "[MASK]", | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "unk_token": "[UNK]" | |
| } | |