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:
- 8fc1509c903fc259898bce502f93e05fae7680dccd983c7387a9731273dd352d
- Size of remote file:
- 18.2 MB
- SHA256:
- bb4ae1d203127a5705c90de64f236f39eab9ad7b7af52367a5625a05db2e2b44
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