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:
- 585c01701a446d6ee96d826152bece16d231a56105cf9cf3e1bd6308979ffe08
- Size of remote file:
- 1.14 MB
- SHA256:
- f80b6df3ed55b6b4a288e670583ce068368425a7a4da1db186e881f04ef8138f
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