Instructions to use ydshieh/tiny-random-BertForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ydshieh/tiny-random-BertForMultipleChoice with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("ydshieh/tiny-random-BertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("ydshieh/tiny-random-BertForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ydshieh/tiny-random-BertForMultipleChoice: direct link, hf CLI and curl.
- Browser
- Download file 384 kB
-
https://huggingface.co/ydshieh/tiny-random-BertForMultipleChoice/resolve/refs%2Fpr%2F3/pytorch_model.bin
- Command line
-
hf download hf://ydshieh/tiny-random-BertForMultipleChoice@refs/pr/3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ydshieh/tiny-random-BertForMultipleChoice/resolve/refs%2Fpr%2F3/pytorch_model.bin
384 kB
- Xet hash:
- 6edd73095d1c29eaa6ec789b72a717afba6271cfa9275bb8b06cba7aefda719b
- Size of remote file:
- 384 kB
- SHA256:
- d018e1a902cb87810fc2bd5a2ef4e983682c7c19a17e6e9a35c717ea55f90474
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