Instructions to use hf-tiny-model-private/tiny-random-IBertForMultipleChoice 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-IBertForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-IBertForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-IBertForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a9b4ea00f7ea6df63a9acea257fac7072c5b928792183ccc4c3a274a649bb43
- Size of remote file:
- 818 kB
- SHA256:
- ae8fbd86bb7b0f2c0d0155daff02e2fa6087ac640bd2bdfe930baba08d9aeeae
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