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:
- fa27b552a5fbf88274efcdd54a50b532d7c12da0c2545d692645f0f1df024b4f
- Size of remote file:
- 3.96 kB
- SHA256:
- 954cabe597f41e657c1308e93e8bde49df317c0981fd2e42f70fbc8247745db7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.