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:
- cec8baafd1664ab4a97103f2c632c5edf1b587db54f77c7e2728b96bf9ca011a
- Size of remote file:
- 9.03 MB
- SHA256:
- 8f1cf83828fe88ffc61df67e2c3a15805b46ba53fccd1e03a1ec9a507351f66a
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