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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d94268810fc0cfcb98cf47801ce7ef9fbf38002d82eac7436368712a38ce7f1
- Size of remote file:
- 268 MB
- SHA256:
- 7bb1130885e721eac1e69e9bb30551446286accba2c0e6d6e199e79725b02678
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