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:
- 73d864148c0ce01e7fc93b008aa8b161c00bf4d58310f5aac0705ed79b8fe19a
- Size of remote file:
- 5.62 kB
- SHA256:
- e3d9b2305ab7b370b5a8224f91319211b4ad270c40b7bada24475e498ac9e95a
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