Instructions to use flagship/sqlclassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flagship/sqlclassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="flagship/sqlclassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("flagship/sqlclassification") model = AutoModelForSequenceClassification.from_pretrained("flagship/sqlclassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 649910eedf06568e6f956a0cf359bc625ed039c32d1d45cfb1b27d42dcdcde66
- Size of remote file:
- 268 MB
- SHA256:
- 217d407c6a39beaddb4b611508a250d7472c836933eee0604964913f963761f3
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