Instructions to use ahmedheakl/sqlcoder-7b-2-ArabicSQLV6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ahmedheakl/sqlcoder-7b-2-ArabicSQLV6 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ahmedheakl/sqlcoder-7b-2-ArabicSQLV6") model = AutoModelForSeq2SeqLM.from_pretrained("ahmedheakl/sqlcoder-7b-2-ArabicSQLV6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 36e6412b8d83cc80f9034d2fd009feedd1a8e412ac0cf1a852c955564b3ca45c
- Size of remote file:
- 4.03 kB
- SHA256:
- c07caf98f6f113fd558a9eb62314442a5218cfd68a80a1963e3da60d5e77123a
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