Instructions to use devagonal/t5-base-squad-qag-b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devagonal/t5-base-squad-qag-b with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("devagonal/t5-base-squad-qag-b") model = AutoModelForSeq2SeqLM.from_pretrained("devagonal/t5-base-squad-qag-b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e23ca4bf2cae8526f4aef85b804956e8ac7b198d34b93ad5be0264397cda69cc
- Size of remote file:
- 5.37 kB
- SHA256:
- 02c7e9334a7fd758e41886fb7d1804932b9e31e823edf038d2340e69cb72b605
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