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/main/tf_model.h5
- Command line
-
hf download hf://ydshieh/tiny-random-BertForMultipleChoice/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/ydshieh/tiny-random-BertForMultipleChoice/resolve/main/tf_model.h5
481 kB
- Xet hash:
- bdd770be8f2892c88f1624e066c67c46109c9fd5c4d2465b8a2424432d36237c
- Size of remote file:
- 481 kB
- SHA256:
- 12b395911d3871935ab978fdfde26e63046e03aacdc79bd93ebdb8a59acc0307
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