Instructions to use hf-tiny-model-private/tiny-random-XLNetForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-XLNetForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-XLNetForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-XLNetForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d96d95d7d253bfdda67960cf9c0784f98040d4773f02e589ca20bdd064d0d174
- Size of remote file:
- 4.4 MB
- SHA256:
- 72f53248af20fe66cc804a15e0caeb4dc9df426362617a2401effa33eaf3e5e2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.