Instructions to use greatakela/flan-t5-base-gen-chat_base-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use greatakela/flan-t5-base-gen-chat_base-5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("greatakela/flan-t5-base-gen-chat_base-5") model = AutoModelForSeq2SeqLM.from_pretrained("greatakela/flan-t5-base-gen-chat_base-5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bdcf89dffe8ff8b9a9e8c5c883e5de9dde1ed73aac05d9035ee7b99fc2b4f825
- Size of remote file:
- 990 MB
- SHA256:
- bf29a13dbfdddd3531076a55348d84d754e7d9a936b5643f0071ae3eddd1d73f
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