Instructions to use beva/heb-beavers-dam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beva/heb-beavers-dam with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("beva/heb-beavers-dam", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from beva/heb-beavers-dam: direct link, hf CLI and curl.
- Browser
- Download file 100 Bytes
-
https://huggingface.co/beva/heb-beavers-dam/resolve/main/config.json
- Command line
-
hf download hf://beva/heb-beavers-dam/config.json
-
curl -L -o config.json https://huggingface.co/beva/heb-beavers-dam/resolve/main/config.json
100 Bytes
| { | |
| "model_type": "bert", | |
| "model_name": "heb-beavers-dam", | |
| "tokenizer_name": "heb-beavers-dam" | |
| } |