Instructions to use BenjaminOcampo/peace_cont_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BenjaminOcampo/peace_cont_bert with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/peace_cont_bert") model = AutoModel.from_pretrained("BenjaminOcampo/peace_cont_bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10e4c5dcf711486ef76959a0e4be886a2333b8f87565f6ec7fd1e07c42ff09e7
- Size of remote file:
- 440 MB
- SHA256:
- 5121bd30cbf09d873822dc0305e50c848ca242a4b674227f9603ab1397ea4237
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.