Instructions to use vj1148/flan-t5-small-rl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vj1148/flan-t5-small-rl with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vj1148/flan-t5-small-rl") model = AutoModelForSeq2SeqLM.from_pretrained("vj1148/flan-t5-small-rl") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f6f147280a4174a216c471692051fbfdedbcfe40cbdb8842247d5ed1b4230b5
- Size of remote file:
- 308 MB
- SHA256:
- c54a8b1d0fba875e0aac166ab637c51c1b3e150fa16252704bcb44f9193ee3bc
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