Instructions to use devagonal/t5-base-squad-qag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devagonal/t5-base-squad-qag with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("devagonal/t5-base-squad-qag") model = AutoModelForSeq2SeqLM.from_pretrained("devagonal/t5-base-squad-qag") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a7a499d99a975a2f27e5ba4a35e1e743990d3394c258e54281340f0ba9ebcbd
- Size of remote file:
- 892 MB
- SHA256:
- 7d02396888fd9ce3193509f83fd4c0b597e7233ef6fb1090487ad4b51f770eb4
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