Instructions to use minhduc168/Qwen3-VL-2B-Instruct-unsloth-bnb-4bit-Vietnamese-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use minhduc168/Qwen3-VL-2B-Instruct-unsloth-bnb-4bit-Vietnamese-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen3-VL-2B-Instruct-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "minhduc168/Qwen3-VL-2B-Instruct-unsloth-bnb-4bit-Vietnamese-LoRA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 72381982403ec25a77e2da673a3e08e16561f0b3948cd5ee8daf3ba7f4d8dfa0
- Size of remote file:
- 11.4 MB
- SHA256:
- af560c5e5807192776a9f72a0ea33c9331816d9c59af61e02bdf766f8a2a97fb
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