ForestFireVLM-7B is a specialized vision-language model fine-tuned from
Qwen2.5-VL-7B-Instruct
specifically for forest fire detection and analysis tasks. This model is designed to identify and analyze various aspects of forest fires from aerial imagery, including smoke detection, flame visibility, fire characteristics, and potential hazards.
The
LLaMA-Factory
framework was used for fine-tuning this model.
How to Use
The model can be used with vLLM to create an OpenAI API compatible endpoint:
ForestFireVLM-7B huggingface.co is an AI model on huggingface.co that provides ForestFireVLM-7B's model effect (), which can be used instantly with this leon-se ForestFireVLM-7B model. huggingface.co supports a free trial of the ForestFireVLM-7B model, and also provides paid use of the ForestFireVLM-7B. Support call ForestFireVLM-7B model through api, including Node.js, Python, http.
ForestFireVLM-7B huggingface.co is an online trial and call api platform, which integrates ForestFireVLM-7B's modeling effects, including api services, and provides a free online trial of ForestFireVLM-7B, you can try ForestFireVLM-7B online for free by clicking the link below.
leon-se ForestFireVLM-7B online free url in huggingface.co:
ForestFireVLM-7B is an open source model from GitHub that offers a free installation service, and any user can find ForestFireVLM-7B on GitHub to install. At the same time, huggingface.co provides the effect of ForestFireVLM-7B install, users can directly use ForestFireVLM-7B installed effect in huggingface.co for debugging and trial. It also supports api for free installation.