Image-to-Text
Transformers
Safetensors
PyTorch
Turkish
blip
image-text-to-text
image-captioning
turkish
ituperceptron/image-captioning-turkish
fine-tuned
multimodal
computer-vision
natural-language-processing
Eval Results (legacy)
Instructions to use ogulcanakca/blip-itu-turkish-captions-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ogulcanakca/blip-itu-turkish-captions-finetuned 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="ogulcanakca/blip-itu-turkish-captions-finetuned")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("ogulcanakca/blip-itu-turkish-captions-finetuned") model = AutoModelForImageTextToText.from_pretrained("ogulcanakca/blip-itu-turkish-captions-finetuned") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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