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:
# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from devagonal/t5-base-squad-qag: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/devagonal/t5-base-squad-qag/resolve/main/training_args.bin
- Command line
-
hf download hf://devagonal/t5-base-squad-qag/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/devagonal/t5-base-squad-qag/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- c9617100c63d7958c844505c56f74577ab41ab4e15769fdf11d87d5fba0bd302
- Size of remote file:
- 5.37 kB
- SHA256:
- 055e8eb7a2bc56719152d3328f9203c2b6379951917b337bc794902bccd4fc0b
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