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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("azg-azg/SQLBert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from azg-azg/SQLBert: direct link, hf CLI and curl.
- Browser
- Download file 66 Bytes
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https://huggingface.co/azg-azg/SQLBert/resolve/refs%2Fpr%2F1/README.md
- Command line
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hf download hf://azg-azg/SQLBert@refs/pr/1/README.md
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curl -L -o README.md https://huggingface.co/azg-azg/SQLBert/resolve/refs%2Fpr%2F1/README.md
66 Bytes
metadata
license: apache-2.0
language:
- sq
pipeline_tag: fill-mask