Instructions to use zharry29/goal_benchmark_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zharry29/goal_benchmark_roberta with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("zharry29/goal_benchmark_roberta") model = AutoModelForMultipleChoice.from_pretrained("zharry29/goal_benchmark_roberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b79eb49ed4d4d0638b4fa0844b6b85cee488623ecec5cc569418888260f08b1
- Size of remote file:
- 499 MB
- SHA256:
- 470f9fdba0a0ad262a6b8f6038deec3e9d32d609e0c0f9c3ff109ae9e81f219e
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