Instructions to use Oscarshih/long-t5-base-SQA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Oscarshih/long-t5-base-SQA with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Oscarshih/long-t5-base-SQA") model = AutoModelForSeq2SeqLM.from_pretrained("Oscarshih/long-t5-base-SQA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 377c59ae1b7008db3b645ee15b41314bef6b5bafada3cdeeaa79b57281831bad
- Size of remote file:
- 1.05 GB
- SHA256:
- db5e4c00526d711baa694f09d8e2045c2eeffdd8da34b73c78c315334cc3deed
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