Instructions to use rooftopcoder/flan-T5-coqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rooftopcoder/flan-T5-coqa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rooftopcoder/flan-T5-coqa") model = AutoModelForSeq2SeqLM.from_pretrained("rooftopcoder/flan-T5-coqa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ebea5d1bcde3fbbd8519eb2e839de24293e6518187bc2c75c6a1bc027017ee9d
- Size of remote file:
- 308 MB
- SHA256:
- 98d2a540c0f659ed2a8979bf7b584686657b14da5a4bb07cbb2242b99656c8b3
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