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 tf_model.h5 from ydshieh/tiny-random-BertForMultipleChoice: direct link, hf CLI and curl.
- Browser
- Download file 481 kB
-
https://huggingface.co/ydshieh/tiny-random-BertForMultipleChoice/resolve/refs%2Fpr%2F4/tf_model.h5
- Command line
-
hf download hf://ydshieh/tiny-random-BertForMultipleChoice@refs/pr/4/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/ydshieh/tiny-random-BertForMultipleChoice/resolve/refs%2Fpr%2F4/tf_model.h5
481 kB
- Xet hash:
- 40ac12373c60a569e2bbee9cf391d6fd18b9cd0fda570689c58f161a5d5b5c36
- Size of remote file:
- 481 kB
- SHA256:
- ad59dcd6759fbd5a8ee9e62fae576b78387c30b81e607906b73a779d2fab4e00
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