Instructions to use flagship/sqlclassification_normal_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flagship/sqlclassification_normal_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="flagship/sqlclassification_normal_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("flagship/sqlclassification_normal_bert") model = AutoModelForSequenceClassification.from_pretrained("flagship/sqlclassification_normal_bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d39655460d13467aa39ac9cc011d75c953d9f776ca5e7695cac2cc4d05138bb2
- Size of remote file:
- 438 MB
- SHA256:
- a8813c2284267bc76f0241ef154a9c8876021d95dbfd6b644cfb865b439a6388
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