Instructions to use GebeyaTalent/generate_reason with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GebeyaTalent/generate_reason with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("GebeyaTalent/generate_reason") model = AutoModelForSeq2SeqLM.from_pretrained("GebeyaTalent/generate_reason") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e361776cf9e0383aa585a7fdb4c77017a69e8606487fa56be6023426f65bae5
- Size of remote file:
- 1.63 GB
- SHA256:
- 2f801018bf47addab726d1f5edc4b5038e3668d5c9facd43eaeead75939eeed9
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