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
- Xet hash:
- 3144a74de6ad243bead95dc5c41985b12c53ee6058923a5cba7d4d186bec24a1
- Size of remote file:
- 308 MB
- SHA256:
- 47e3b6123f516940799904a8fff1dfb905d64562172f0b8d4e4b502f3a7c1d59
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