Instructions to use hf-tiny-model-private/tiny-random-YosoForMultipleChoice 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-YosoForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-YosoForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-YosoForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-tiny-model-private/tiny-random-YosoForMultipleChoice: direct link, hf CLI and curl.
- Browser
- Download file 372 kB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-YosoForMultipleChoice/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-YosoForMultipleChoice/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-tiny-model-private/tiny-random-YosoForMultipleChoice/resolve/main/pytorch_model.bin
372 kB
- Xet hash:
- c57cd0c1b61e2ac07f55474c1d86fb694d56e3ba0dd3eca5ac7384867f617db1
- Size of remote file:
- 372 kB
- SHA256:
- a106656aa867c34d1bea373f5366960d86eeba5272888052c3133b9630810cd1
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