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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nandwalritik/sql_classifier") model = AutoModelForSequenceClassification.from_pretrained("nandwalritik/sql_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model_old.bin from nandwalritik/sql_classifier: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/nandwalritik/sql_classifier/resolve/main/pytorch_model_old.bin
- Command line
-
hf download hf://nandwalritik/sql_classifier/pytorch_model_old.bin
-
curl -L -o pytorch_model_old.bin https://huggingface.co/nandwalritik/sql_classifier/resolve/main/pytorch_model_old.bin
438 MB
- Xet hash:
- 7aa9833036e2ec561f1713565149a9710259f00ef0210fbe61efec9bdd8779a7
- Size of remote file:
- 438 MB
- SHA256:
- 9a1f51dcd6cf7760c3e432a5b447a971da95dd1bd91e16b77c6446f901124a04
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