Instructions to use cl-trier/flan-t5-base_twon-generative-agent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cl-trier/flan-t5-base_twon-generative-agent with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cl-trier/flan-t5-base_twon-generative-agent") model = AutoModelForSeq2SeqLM.from_pretrained("cl-trier/flan-t5-base_twon-generative-agent", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Department of Computational Linguistics - University of Trier
Training in progress, step 100
166136c - Xet hash:
- 65081521a939360157ca676e43fef432ebbc669250e51060dd4e01b5a478213a
- Size of remote file:
- 4.09 kB
- SHA256:
- c8eedfae81c7231c4d7d77bc496c4fde26e775ff90dd60029b616c54978590b2
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