Instructions to use SujanKarki/Qwen2.5-Coder-1.5B-Instruct_text_to_sql_lora_newdataset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SujanKarki/Qwen2.5-Coder-1.5B-Instruct_text_to_sql_lora_newdataset with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "SujanKarki/Qwen2.5-Coder-1.5B-Instruct_text_to_sql_lora_newdataset") - Notebooks
- Google Colab
- Kaggle
Qwen2.5-Coder-1.5B-Instruct_text_to_sql_lora_newdataset / checkpoint-3000 /adapter_model.safetensors
- Xet hash:
- 2fa4a4d5d6d96720bb4ad8efafdb003eafd22dee8ea166bbce9dc09e2cfbb352
- Size of remote file:
- 1.07 GB
- SHA256:
- fdbb61c03060ac5d823b2659233e717e7e228aab3f76cdf0f762d23435a9f2f4
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