Instructions to use nandwalritik/sql_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nandwalritik/sql_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nandwalritik/sql_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nandwalritik/sql_classifier") model = AutoModelForSequenceClassification.from_pretrained("nandwalritik/sql_classifier") - Notebooks
- Google Colab
- Kaggle
Rename pytorch_model (1).bin to pytorch_model.bin (#4)
Browse files- Rename pytorch_model (1).bin to pytorch_model.bin (6b6f4dec6d16d0d60e95d9e0bd2d92dc7bc35410)
Co-authored-by: nidhi <nidhi9@users.noreply.huggingface.co>
pytorch_model (1).bin → pytorch_model.bin
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