Instructions to use shadowlilac/visor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shadowlilac/visor 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="shadowlilac/visor")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("shadowlilac/visor") model = AutoModelForMultimodalLM.from_pretrained("shadowlilac/visor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c1f967f428efc87cceab89e899d4206087d9409d66fb1666969e708c6b8c954e
- Size of remote file:
- 940 MB
- SHA256:
- 161bf7af0743db9e54550e4da3045c8161384d8437828a7d57d0de67c7f17166
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