Instructions to use harish/BERT-Plus-CxG-100K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harish/BERT-Plus-CxG-100K with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("harish/BERT-Plus-CxG-100K", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c8c85af8f8c2ba43ac508238aea033a5c7afff5d51078d9de2abe7fa2f25a3f
- Size of remote file:
- 433 MB
- SHA256:
- 840a922ca2faee1c6827dda787b30561f0c0dbf1f54c889a92a62696d5bb7030
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.