Instructions to use ArianAskari/llama-3-8b-bnb-4bit-t2sql-sqlselectorv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArianAskari/llama-3-8b-bnb-4bit-t2sql-sqlselectorv2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ArianAskari/llama-3-8b-bnb-4bit-t2sql-sqlselectorv2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from ArianAskari/llama-3-8b-bnb-4bit-t2sql-sqlselectorv2: direct link, hf CLI and curl.
- Browser
- Download file 9.09 MB
-
https://huggingface.co/ArianAskari/llama-3-8b-bnb-4bit-t2sql-sqlselectorv2/resolve/main/tokenizer.json
- Command line
-
hf download hf://ArianAskari/llama-3-8b-bnb-4bit-t2sql-sqlselectorv2/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/ArianAskari/llama-3-8b-bnb-4bit-t2sql-sqlselectorv2/resolve/main/tokenizer.json
9.09 MB
File too large to display, you can check the raw version instead.