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 800
57d839e - Xet hash:
- 3cd4264eeb03b829a8255cf4e3d1606cf5dd590cb6e6a8f19ee74e52dbbcbecc
- Size of remote file:
- 990 MB
- SHA256:
- ecdf77b3a4175f47efab788073354172edddae3d6bdaeafe3793f82d2353d77a
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