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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from hf-tiny-model-private/tiny-random-XLNetForMultipleChoice: direct link, hf CLI and curl.
- Browser
- Download file 2.41 MB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-XLNetForMultipleChoice/resolve/main/tokenizer.json
- Command line
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hf download hf://hf-tiny-model-private/tiny-random-XLNetForMultipleChoice/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/hf-tiny-model-private/tiny-random-XLNetForMultipleChoice/resolve/main/tokenizer.json
2.41 MB
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