Instructions to use wowsocool123/qwen3-4b-regex-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use wowsocool123/qwen3-4b-regex-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "wowsocool123/qwen3-4b-regex-lora") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from wowsocool123/qwen3-4b-regex-lora: direct link, hf CLI and curl.
- Browser
- Download file 132 MB
-
https://huggingface.co/wowsocool123/qwen3-4b-regex-lora/resolve/393fb742f9e64c29ff6b3e168cf7d94662c33a91/adapter_model.safetensors
- Command line
-
hf download hf://wowsocool123/qwen3-4b-regex-lora@393fb742f9e64c29ff6b3e168cf7d94662c33a91/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/wowsocool123/qwen3-4b-regex-lora/resolve/393fb742f9e64c29ff6b3e168cf7d94662c33a91/adapter_model.safetensors
132 MB
- Xet hash:
- feaca9f6b26acfa97bf8beac76449f6928f3f86f920bb20a951da5c50451eb54
- Size of remote file:
- 132 MB
- SHA256:
- 73971c32bd0af1dcc8b167723eaabf89410af4770f671d2a0974330788ffe8b9
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