Instructions to use hf-tiny-model-private/tiny-random-ElectraForMultipleChoice 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-ElectraForMultipleChoice with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-ElectraForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-ElectraForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e5c0e4311d78d61355e3014e4ccb01ead39d32ca2648e152b088c848906147b
- Size of remote file:
- 1.04 MB
- SHA256:
- f014452a37ef64f709b8f0bb4582b8eb30566ec52f29e861ff7b8e5ac399b610
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