Instructions to use nkasmanoff/sky-scribe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nkasmanoff/sky-scribe 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="nkasmanoff/sky-scribe")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("nkasmanoff/sky-scribe") model = AutoModelForImageTextToText.from_pretrained("nkasmanoff/sky-scribe") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c4362623bc5f12cec47a3742d858d477dc142f011d75f8dc3cd6ecd43d3eacb
- Size of remote file:
- 707 MB
- SHA256:
- d5f0f2f70bbf02a96e08c57a3e00e6544376007aa56b483f2ac7a446674b2fc7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.