Instructions to use SE6446/Untitled7-colab_checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SE6446/Untitled7-colab_checkpoint 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="SE6446/Untitled7-colab_checkpoint")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("SE6446/Untitled7-colab_checkpoint") model = AutoModelForMultimodalLM.from_pretrained("SE6446/Untitled7-colab_checkpoint", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (32dc64e6681e5db64a31f68f0a7c7b8df08bcb15) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>d14530d
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Update README.md
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Update README.md
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Create README.md
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Upload processor
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Upload GitForCausalLM
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initial commit
Archie Macdonaldd84ec30