Instructions to use while-ai/text-to-sql-shop-r2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use while-ai/text-to-sql-shop-r2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-4B") model = PeftModel.from_pretrained(base_model, "while-ai/text-to-sql-shop-r2") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from while-ai/text-to-sql-shop-r2: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/while-ai/text-to-sql-shop-r2/resolve/main/tokenizer.json
- Command line
-
hf download hf://while-ai/text-to-sql-shop-r2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/while-ai/text-to-sql-shop-r2/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 3dd79aa1fb4c208adad76c1910b7104edaa2679562bc0067af5aea044b373410
- Size of remote file:
- 11.4 MB
- SHA256:
- 67cc0080ffd7555f723f423c27cfef314e1ad9d335c8b79f465c5faba1ed478b
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