Instructions to use Jeckmu/Qwen2-VL-7B-Instruct-GPTQ-Int4-lora-SurveillanceVideo-250210 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Jeckmu/Qwen2-VL-7B-Instruct-GPTQ-Int4-lora-SurveillanceVideo-250210 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-VL-7B-Instruct-GPTQ-Int4") model = PeftModel.from_pretrained(base_model, "Jeckmu/Qwen2-VL-7B-Instruct-GPTQ-Int4-lora-SurveillanceVideo-250210") - Notebooks
- Google Colab
- Kaggle
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# Qwen2-VL-7B-Instruct-GPTQ-Int4-LoRA-SurveillanceVideo-Classification-250210
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This model is a fine-tuned version of [Qwen/Qwen2-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct) on the Surveillance Video Classification dataset.
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## Model description
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# Qwen2-VL-7B-Instruct-GPTQ-Int4-LoRA-SurveillanceVideo-Classification-250210
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This model is a fine-tuned version of [Qwen/Qwen2-VL-7B-Instruct-GPTQ-Int4](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct-GPTQ-Int4) on the Surveillance Video Classification dataset.
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## Model description
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