Instructions to use devagonal/t5-flan-semantic-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devagonal/t5-flan-semantic-2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("devagonal/t5-flan-semantic-2") model = AutoModelForSeq2SeqLM.from_pretrained("devagonal/t5-flan-semantic-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a35664a80b9d9e11f9e66b174e57a09849eb8874bf39b1593a9aa5f57600c2e9
- Size of remote file:
- 4.6 kB
- SHA256:
- 31d65b9428a48389afdcd77ec64cd6b70f01cad302c888184b9573d4bb61ab88
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