Instructions to use redche7/qwen3-4b-p300-text-correction-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use redche7/qwen3-4b-p300-text-correction-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-4B-Instruct-2507") model = PeftModel.from_pretrained(base_model, "redche7/qwen3-4b-p300-text-correction-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0183bad90db46cd7e7f59c0536569b0562b1c421d58d54b10c36136b68327304
- Size of remote file:
- 66.1 MB
- SHA256:
- ef9507fe17f03a1f725c322aaafcc3d262953f8bff4137e048b299f32e92987f
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