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:
- fbf22a443f7ac61f27dea4cd45e9d2bd93d3ce7f55fd16e00197633618c38ee5
- Size of remote file:
- 4.46 MB
- SHA256:
- 6ad481655dbc3bf4ca3efdad21ba284d82123449d46843e3ef9dd887609d7525
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