Instructions to use hf-internal-testing/tiny-random-YosoForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-YosoForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-YosoForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-YosoForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41fc03059ee38715632b445f25dd021bba2bcf1588972c8d23ae65ef9822b5d6
- Size of remote file:
- 372 kB
- SHA256:
- fb1863bb94549ad80bd2796faf1c52dce2a0f759e3d22d54f45812e2cf6ad4b1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.