Image-to-Text
Transformers
Safetensors
English
qwen2_vl
image-text-to-text
text-generation-inference
Instructions to use Ertugrul/Qwen2-VL-7B-Captioner-Relaxed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ertugrul/Qwen2-VL-7B-Captioner-Relaxed with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="Ertugrul/Qwen2-VL-7B-Captioner-Relaxed")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Ertugrul/Qwen2-VL-7B-Captioner-Relaxed") model = AutoModelForMultimodalLM.from_pretrained("Ertugrul/Qwen2-VL-7B-Captioner-Relaxed") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6282e502f71c922be8e02c26aad9550e895e65f7583163b3e368705dff962ae0
- Size of remote file:
- 4.93 GB
- SHA256:
- a94d42616f041c9064e4ee73259175325f89e175d455f5382c1e1097404cac3b
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