Instructions to use keshavsharma/tinyllama-1.1b-sql-reasoning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use keshavsharma/tinyllama-1.1b-sql-reasoning with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0") model = PeftModel.from_pretrained(base_model, "keshavsharma/tinyllama-1.1b-sql-reasoning") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from keshavsharma/tinyllama-1.1b-sql-reasoning: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
-
https://huggingface.co/keshavsharma/tinyllama-1.1b-sql-reasoning/resolve/main/tokenizer.json
- Command line
-
hf download hf://keshavsharma/tinyllama-1.1b-sql-reasoning/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/keshavsharma/tinyllama-1.1b-sql-reasoning/resolve/main/tokenizer.json
3.62 MB
File too large to display, you can check the raw version instead.