Instructions to use harish/BERTBaseClone-2-10000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harish/BERTBaseClone-2-10000 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("harish/BERTBaseClone-2-10000", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e3fcccd112c2da95e4dcf3c1cb6c0054d95058583a4b5584cb1724c740aa274b
- Size of remote file:
- 433 MB
- SHA256:
- f210e6e98a3a9acbcf3eb27e4dd53e4f8777d2065a3929fcf9dc032fb16ba228
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.