Instructions to use stevenlearns/caption-tool with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stevenlearns/caption-tool 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="stevenlearns/caption-tool")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("stevenlearns/caption-tool", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| # Caption Tool — local image captioner | |
| # Needs Python 3.13 or older. Python 3.14 breaks the tokenizer build. | |
| torch>=2.1.0 | |
| torchvision>=0.20.0 | |
| transformers==4.46.3 | |
| Pillow>=10.0.0 | |
| rich>=13.0.0 | |