Instructions to use declare-lab/segue-w2v2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use declare-lab/segue-w2v2-base with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("declare-lab/segue-w2v2-base", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a00608d77f963f4e0d8b7bc78a7103d0460818ff0b95fa3a7061e8f1d0589ca9
- Size of remote file:
- 816 MB
- SHA256:
- 96b117703bda9538ad56ff61503e03b14270d7d207d8316069122780fafe2dca
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.