Instructions to use sontn122/content with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sontn122/content with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("sontn122/content") model = AutoModelForMultipleChoice.from_pretrained("sontn122/content", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 778f86c0bde8aa801fd723c16189ad45ab0317ee8234f49ef910726f765507ba
- Size of remote file:
- 4.03 kB
- SHA256:
- 61a003149df66223efefce4a4da29df72d1bdded3739898f170fc86a70ebe274
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