Instructions to use swaroopajit/git-base-fashion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use swaroopajit/git-base-fashion 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-fashion")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("swaroopajit/git-base-fashion") model = AutoModelForMultimodalLM.from_pretrained("swaroopajit/git-base-fashion") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2cc725b1767e8407b70f6afbc63d8298eaf010ed5b498fa30211a5cb69da3ea3
- Size of remote file:
- 4.03 kB
- SHA256:
- 77d3fa61dff744b1dce728f1b128cf4849da4a4c2ee3ca5967f0b9516f206e08
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