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:
- 8c0673bee0d2ec86e3ecfde90274d8552cc20b171094a8cd609800f526deb4c1
- Size of remote file:
- 707 MB
- SHA256:
- ec3630af245a15c4955718c4835ece4c1fa8b2c6f0d38a5e8b48bb7cbb4c2da7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.