Instructions to use hf-internal-testing/tiny-random-FunnelForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-FunnelForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-FunnelForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-FunnelForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9813f235fb3455eb065f18606947fa11b83d717ca86fda5c6ec17fe5a7501fa8
- Size of remote file:
- 285 kB
- SHA256:
- 747e31f491f93744fd3ac907faa025be77706d2c0a3085f499b0489644410225
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.