Instructions to use Sof22/image-caption-large-copy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sof22/image-caption-large-copy 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="Sof22/image-caption-large-copy")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("Sof22/image-caption-large-copy") model = AutoModelForImageTextToText.from_pretrained("Sof22/image-caption-large-copy") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62d9ce20a7cb858cff7f1cb1d013dfecdd8edf96fa5bebd216f180c9145dc87c
- Size of remote file:
- 1.88 GB
- SHA256:
- 9fb4b74fce7b1f965cbc7bc9b58db27cfaaebfa0d86e27d49fec877288a11852
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