Instructions to use devagonal/t5-base-squad-qag-c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devagonal/t5-base-squad-qag-c with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("devagonal/t5-base-squad-qag-c") model = AutoModelForSeq2SeqLM.from_pretrained("devagonal/t5-base-squad-qag-c", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec5ba1e6feb62c64e6d7c5d47bd28679cd335689e793db80052aa01b04a35cea
- Size of remote file:
- 5.37 kB
- SHA256:
- a1027cd65c9ec81bacca50340cbfd541dbad41867d4b2168b4c102f302c1f090
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