Instructions to use devagonal/t5-small-squad-qag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devagonal/t5-small-squad-qag with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("devagonal/t5-small-squad-qag") model = AutoModelForSeq2SeqLM.from_pretrained("devagonal/t5-small-squad-qag") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0fca9433b4eef10699b27088de9e16c0c055a94b9d95c4cc3719cae87dfdeb72
- Size of remote file:
- 242 MB
- SHA256:
- 08ef88e143767f3315ae88f36f71844214e28d73e33245a033a92a1c5af0e106
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