Instructions to use azg-azg/SQLBert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use azg-azg/SQLBert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="azg-azg/SQLBert")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("azg-azg/SQLBert", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer.json with huggingface_hub
Browse files- tokenizer.json +0 -0
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