Instructions to use cl-trier/flan-t5-small_twon-debug-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-small_twon-debug-generative-agent with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cl-trier/flan-t5-small_twon-debug-generative-agent") model = AutoModelForSeq2SeqLM.from_pretrained("cl-trier/flan-t5-small_twon-debug-generative-agent", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Department of Computational Linguistics - University of Trier
Training in progress, step 100
b851e32 Download training_args.bin from cl-trier/flan-t5-small_twon-debug-generative-agent: direct link, hf CLI and curl.
- Browser
- Download file 4.16 kB
-
https://huggingface.co/cl-trier/flan-t5-small_twon-debug-generative-agent/resolve/main/training_args.bin
- Command line
-
hf download hf://cl-trier/flan-t5-small_twon-debug-generative-agent/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/cl-trier/flan-t5-small_twon-debug-generative-agent/resolve/main/training_args.bin
4.16 kB
- Xet hash:
- b993382db895bfcebdbe581bc0566a89a3a40133d9cb401b041194b77018fd0c
- Size of remote file:
- 4.16 kB
- SHA256:
- 32c04405f1c4067944eff5c07771dde0beda31e736b16f8f395422f7741df897
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