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:
# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-tiny-model-private/tiny-random-XLNetForMultipleChoice: direct link, hf CLI and curl.
- Browser
- Download file 4.4 MB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-XLNetForMultipleChoice/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-XLNetForMultipleChoice/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-tiny-model-private/tiny-random-XLNetForMultipleChoice/resolve/main/pytorch_model.bin
4.4 MB
- Xet hash:
- d96d95d7d253bfdda67960cf9c0784f98040d4773f02e589ca20bdd064d0d174
- Size of remote file:
- 4.4 MB
- SHA256:
- 72f53248af20fe66cc804a15e0caeb4dc9df426362617a2401effa33eaf3e5e2
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