Instructions to use rat45/sql-lora-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rat45/sql-lora-model 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, "rat45/sql-lora-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9a483b5c0188eb8a6233328ecfe32fb56fde678db99e5bd8ebab936e272edf8
- Size of remote file:
- 1.06 kB
- SHA256:
- d2c0cf824c67c5f46bd906575c2f888f1acf32bdbcb24dc3cc063b4a3e2ced87
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