Instructions to use flagship/sqlclassification_ten with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flagship/sqlclassification_ten with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="flagship/sqlclassification_ten")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("flagship/sqlclassification_ten") model = AutoModelForSequenceClassification.from_pretrained("flagship/sqlclassification_ten", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18732a06d7a01e79c5802d6fa110c152f5700c1db44f35f3d63f7651b882deb6
- Size of remote file:
- 268 MB
- SHA256:
- d790db13be1130968c44389be0148970413372bd1e22e6c8b0b1432dba51045d
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