Instructions to use hf-tiny-model-private/tiny-random-BertForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-BertForMultipleChoice with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-BertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-BertForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-tiny-model-private/tiny-random-BertForMultipleChoice: direct link, hf CLI and curl.
- Browser
- Download file 366 kB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-BertForMultipleChoice/resolve/refs%2Fpr%2F2/model.safetensors
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-BertForMultipleChoice@refs/pr/2/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-tiny-model-private/tiny-random-BertForMultipleChoice/resolve/refs%2Fpr%2F2/model.safetensors
366 kB
- Xet hash:
- 23b383f8c390645f408a2211e60d74e8837c8d77725d17f0e475f897b48e0053
- Size of remote file:
- 366 kB
- SHA256:
- d182b7d49509ecc1d0aadc19ef5bf4cae883b220fb6e479c0fa338ad7e95c84c
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