Instructions to use hf-internal-testing/tiny-random-XLNetForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-XLNetForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-XLNetForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-internal-testing/tiny-random-XLNetForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af06e88be9c3fff8c35ee40dd5b3a4a936ec817359d6f347da8e6d61ec60e264
- Size of remote file:
- 4.38 MB
- SHA256:
- 5008ee1e27864004cc8d60c198aa8160c0c2fee43604f575cbef023d4534caad
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