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%2F2/pytorch_model.bin
- Command line
-
hf download hf://ydshieh/tiny-random-BertForMultipleChoice@refs/pr/2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ydshieh/tiny-random-BertForMultipleChoice/resolve/refs%2Fpr%2F2/pytorch_model.bin
384 kB
- Xet hash:
- f99751640a2896d5ee4fe48345058a5b5f838e2472c9340ba81e0afeeb1be31d
- Size of remote file:
- 384 kB
- SHA256:
- 75385979af6510c3ac8a00029e5105bee3e30ed4bbafdd9c71c9a087d689c6ac
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