Instructions to use Upload/sahajbert2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Upload/sahajbert2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("Upload/sahajbert2") model = AutoModelForPreTraining.from_pretrained("Upload/sahajbert2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f6bef7ad3461159cff9d5d26735d472bca3bca746fba82fed7648174b9c7118
- Size of remote file:
- 304 MB
- SHA256:
- 6f7a6d0e8ad7ab7223176b7f86ae6ebfdc6b47d819a881cdfc1fa5a58b831518
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.