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 tf_model.h5 from hf-tiny-model-private/tiny-random-XLNetForMultipleChoice: direct link, hf CLI and curl.
- Browser
- Download file 4.46 MB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-XLNetForMultipleChoice/resolve/main/tf_model.h5
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-XLNetForMultipleChoice/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/hf-tiny-model-private/tiny-random-XLNetForMultipleChoice/resolve/main/tf_model.h5
4.46 MB
- Xet hash:
- 70f295672fa5bacc7144400b5313d26c714da72bf569d2f0985fb161621b1397
- Size of remote file:
- 4.46 MB
- SHA256:
- b7a822beca66d2126184292f69ceb7e72dac9878b7481e6d02ac15d3753189bf
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