Instructions to use dslack/t5-flan-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dslack/t5-flan-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dslack/t5-flan-small") model = AutoModelForSeq2SeqLM.from_pretrained("dslack/t5-flan-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9af38f672d3f3799b3bb5f17e515380a1be0137786aebc741b1e1ce9a9a1f02d
- Size of remote file:
- 308 MB
- SHA256:
- dcb1f947a84751c5b622f8aa0e848994b0c4ea3679fd707dc236ac45590dcda9
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