Instructions to use hf-internal-testing/tiny-random-BigBirdForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BigBirdForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BigBirdForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-BigBirdForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9207b008bedbf40a52bb4e0922c2bae3d058925dfb713dc12e0118325afe229b
- Size of remote file:
- 6.55 MB
- SHA256:
- 25b19b82c13fb48a0352b08745ea580154f42a50949686eb45e08c9712a184a1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.