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:
- 2d204ab1fbe208ca0ae621d9fc0ff1d0aafd5e4bd9b3fc54db856eb7646a4f7a
- Size of remote file:
- 707 MB
- SHA256:
- 63286db2961ea39aba18dadac3cffa2de1a77fd9496e7223a029eb72ce60d4a2
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