Instructions to use udaypratap/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use udaypratap/results with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("udaypratap/results") model = AutoModelForMultipleChoice.from_pretrained("udaypratap/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e361d7edb2f525989286549cb30c0d5743008455bfc6a265929971db0b8c9729
- Size of remote file:
- 5.14 kB
- SHA256:
- 11781fd7b31d71f84705b18e45fd12beac662f65709686a0dcc19c644830a4ad
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