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")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("nkasmanoff/sky-scribe") model = AutoModelForMultimodalLM.from_pretrained("nkasmanoff/sky-scribe", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from nkasmanoff/sky-scribe: direct link, hf CLI and curl.
- Browser
- Download file 707 MB
-
https://huggingface.co/nkasmanoff/sky-scribe/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://nkasmanoff/sky-scribe@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nkasmanoff/sky-scribe/resolve/refs%2Fpr%2F1/pytorch_model.bin
707 MB
- Xet hash:
- 6c4362623bc5f12cec47a3742d858d477dc142f011d75f8dc3cd6ecd43d3eacb
- Size of remote file:
- 707 MB
- SHA256:
- d5f0f2f70bbf02a96e08c57a3e00e6544376007aa56b483f2ac7a446674b2fc7
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