Instructions to use gsgoncalves/distilroberta-base-race with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gsgoncalves/distilroberta-base-race with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("gsgoncalves/distilroberta-base-race") model = AutoModelForMultipleChoice.from_pretrained("gsgoncalves/distilroberta-base-race") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb0cb97200beacf56a1b741329bf02f01680717d6114e51fdb14a730167eb48c
- Size of remote file:
- 329 MB
- SHA256:
- 8dcee8c83ca22819659c2974cdbb6e29a5a47972c7ac6c6796d6d92c74f2d5f1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.