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%2F3/tf_model.h5
- Command line
-
hf download hf://ydshieh/tiny-random-BertForMultipleChoice@refs/pr/3/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/ydshieh/tiny-random-BertForMultipleChoice/resolve/refs%2Fpr%2F3/tf_model.h5
481 kB
- Xet hash:
- 0360ac181a6db883381726c39d14e4a7784f17b96193c47a095902cd6e1c39b8
- Size of remote file:
- 481 kB
- SHA256:
- 26a2a32b622352f52e329a649eb7de95d538a2a3714d9326e4ccd3f745353b46
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