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:
- e11d68f493040014f1d04086d992a8924ea030b0c5ce2489d68ad34a5c0b2428
- Size of remote file:
- 4.97 GB
- SHA256:
- de718461951506f5de61de67724d9e47b644f0fd724ed9dafc5f142f858d417f
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