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:
- 4a61da4637e12caaa132e028e63f18c4813838df216320ffb790b2fb0668d6ff
- Size of remote file:
- 4.03 kB
- SHA256:
- 8ffd76cbfcaaf46f9570b00af58cdc3308d4b9aa70c686e185fda06e51203fa3
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