Instructions to use Caraaaaa/text_image_captioning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Caraaaaa/text_image_captioning 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="Caraaaaa/text_image_captioning")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("Caraaaaa/text_image_captioning") model = AutoModelForImageTextToText.from_pretrained("Caraaaaa/text_image_captioning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f140489beda2aabdaaac10a954d9edd0d31dd7cd48d5542bebefe1287ce1d1c
- Size of remote file:
- 707 MB
- SHA256:
- 4a76ea74ebe330e8dc5eb9f1233e35bd472057caa7bfeaa31c11f97139d12592
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