Instructions to use hf-tiny-model-private/tiny-random-DistilBertForMultipleChoice 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-DistilBertForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-DistilBertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-DistilBertForMultipleChoice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ff50abaa36dfd38dc8f661e7f56bcd647d26f21c19d51b5ad28e4fab72c9708
- Size of remote file:
- 360 kB
- SHA256:
- 6d600ab80a79b460d9fe0f74aa1946742eaf5c786312fc667a3b84f392287ad2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.