Instructions to use swaroopajit/git-base-next with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use swaroopajit/git-base-next 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")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("swaroopajit/git-base-next") model = AutoModelForMultimodalLM.from_pretrained("swaroopajit/git-base-next", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2767178634926303d8960016a7d7fa44ca2ffa753dd95069ebd53778a046af00
- Size of remote file:
- 707 MB
- SHA256:
- a228478f90fe89d9fade123d1af921634ce70cb7d5ca1d23c25a024c205ebbe6
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