Instructions to use swaroopajit/git-base-next-refined with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use swaroopajit/git-base-next-refined 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="swaroopajit/git-base-next-refined")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("swaroopajit/git-base-next-refined") model = AutoModelForImageTextToText.from_pretrained("swaroopajit/git-base-next-refined") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c9870c2b449b87de8166d4bb9c8ad6e857ac176464d7a68dbf57a6791c50edc
- Size of remote file:
- 3.96 kB
- SHA256:
- 6fbac392d13049526544ca6f60b2bf11cce69bee6af871e245cecdd667dcdfd6
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