Instructions to use khhuang/zerofec-qa2claim-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use khhuang/zerofec-qa2claim-t5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("khhuang/zerofec-qa2claim-t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("khhuang/zerofec-qa2claim-t5-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db6de8ab74c2def704b0810e9cdadf28328b4eda66de10f7538ab7d70fc26717
- Size of remote file:
- 3.31 kB
- SHA256:
- ac3765365d9b60b739312cb8c6cb6014857bc42dfd892bbdc95ecdfaabe2564b
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