Instructions to use Quangvm/tinyllama-sqllm-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Quangvm/tinyllama-sqllm-v1 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, "Quangvm/tinyllama-sqllm-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0285422c2394634bfd077d3d9c51f211d9aaf88cfd5d88c470d69b731f882bd9
- Size of remote file:
- 5.11 kB
- SHA256:
- decc80f002bf57ea551db1ea2414ea8f7712f70c5da4c5bc97008a8050d754cc
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