Instructions to use SivilTaram/poet-sql-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SivilTaram/poet-sql-roberta with Transformers:
# Load model directly from transformers import AutoTokenizer, RobertaForMultiGoldSequenceLabeling tokenizer = AutoTokenizer.from_pretrained("SivilTaram/poet-sql-roberta") model = RobertaForMultiGoldSequenceLabeling.from_pretrained("SivilTaram/poet-sql-roberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8c2baaa24a37ead95e0755b3521579d814df208c3e6147a229f6fc634bdf96b
- Size of remote file:
- 1.43 GB
- SHA256:
- 4625cfdac96a38572bf0d1589bcaf7c99e17cbe3a1ec8e5e5da498c5d7130466
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