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
Adding `safetensors` variant of this model
#5
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6ad436d6a0aa1f4190d1d5f8c9b7b7029c8b447abdfdc4c28a8b860145c5f406
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size 437962832
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