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
Download tokenizer.json from albertkingdom/deepseek-coder-7b-text2sql-magicoder-lora: direct link, hf CLI and curl.
- Browser
- Download file 7.5 MB
-
https://huggingface.co/albertkingdom/deepseek-coder-7b-text2sql-magicoder-lora/resolve/main/tokenizer.json
- Command line
-
hf download hf://albertkingdom/deepseek-coder-7b-text2sql-magicoder-lora/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/albertkingdom/deepseek-coder-7b-text2sql-magicoder-lora/resolve/main/tokenizer.json
7.5 MB
File too large to display, you can check the raw version instead.