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
Download pytorch_model.bin from hf-internal-testing/tiny-random-XLNetForMultipleChoice: direct link, hf CLI and curl.
- Browser
- Download file 4.4 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-XLNetForMultipleChoice/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-XLNetForMultipleChoice@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-XLNetForMultipleChoice/resolve/refs%2Fpr%2F1/pytorch_model.bin
4.4 MB
- Xet hash:
- 5cc746e691f43224f8318254a1c044082d8dbcc4a01dea3cd1d35ea5555c1d6d
- Size of remote file:
- 4.4 MB
- SHA256:
- c41cbe6d30f378d1afa44df0aa15fa2cd6d2966c6fd90d261b952782a88b243c
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