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
Commit History
-
Update config.json
d007925 -
Update config.json
774d79d -
Update config.json
cfe8862 -
Update config.json
8392fe9 -
Update config.json
5c24e81 -
Update config.json
6893dc8 -
Update config.json
6732e7d -
Update config.json
ee3174e -
Upload 2 files
d299cb2 -
Upload heb-beavers-dam.zip
e24e701 -
Upload 5 files
3b59c63 -
initial commit
1b295ad