Instructions to use pavan-naik/Llama-3.2-1B-Instruct-Text-to-SQL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pavan-naik/Llama-3.2-1B-Instruct-Text-to-SQL with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("pavan-naik/Llama-3.2-1B-Instruct-Text-to-SQL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from pavan-naik/Llama-3.2-1B-Instruct-Text-to-SQL: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/pavan-naik/Llama-3.2-1B-Instruct-Text-to-SQL/resolve/main/tokenizer.json
- Command line
-
hf download hf://pavan-naik/Llama-3.2-1B-Instruct-Text-to-SQL/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/pavan-naik/Llama-3.2-1B-Instruct-Text-to-SQL/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 2c4fcab3e184966ed14f44531833347cc036b08388092c8e9e5716adcb18bc55
- Size of remote file:
- 17.2 MB
- SHA256:
- 6e6b3307ed78e0b09fbe72512bbe09e95bb1c177d72e5db22786b3688e8dc429
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