Instructions to use albertkingdom/deepseek-coder-7b-text2sql-magicoder-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use albertkingdom/deepseek-coder-7b-text2sql-magicoder-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-7b-instruct-v1.5") model = PeftModel.from_pretrained(base_model, "albertkingdom/deepseek-coder-7b-text2sql-magicoder-lora") - Notebooks
- Google Colab
- Kaggle
Replace with SQL+Magicoder mixed-training adapter (better SQL generalization + retained code capability, see experiment_log.md)
b738d48 verified Download adapter_model.safetensors from albertkingdom/deepseek-coder-7b-text2sql-magicoder-lora: direct link, hf CLI and curl.
- Browser
- Download file 31.5 MB
-
https://huggingface.co/albertkingdom/deepseek-coder-7b-text2sql-magicoder-lora/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://albertkingdom/deepseek-coder-7b-text2sql-magicoder-lora/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/albertkingdom/deepseek-coder-7b-text2sql-magicoder-lora/resolve/main/adapter_model.safetensors
31.5 MB
- Xet hash:
- f6b3cd759b6866901d42b1fade65a3b32c182e29d0a8c1e6db9d9aea70220868
- Size of remote file:
- 31.5 MB
- SHA256:
- 26b86b81011abc81389fc1caaf1eaf5b4e59a9f4296cfe635a1aec179cf823a8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.