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:
- 9cf96080a84730b5cb7e13f6cdb960eac5fd8e0e8d7de249e93241c0172ee20d
- Size of remote file:
- 988 Bytes
- SHA256:
- cef08939e76bb78603bc3bdd1e5486d1ec5566f2daa8f0334f68666b295ff9d5
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