Instructions to use getZuma/image-captioning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use getZuma/image-captioning 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="getZuma/image-captioning")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("getZuma/image-captioning") model = AutoModelForMultimodalLM.from_pretrained("getZuma/image-captioning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model
Verified signatureThis is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.21b2e55
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spell fix
317eeaa -
Updated readme file
16a8334 -
Fixed variable error.
4ad5631 -
rollback to previous code
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removed model to device
removed model to device98f4fce -
Updated with new code
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removed devices
eca2bf8 -
Moved to 16 bit precision
7ab9f15 -
fixed Cuda Issue
2ae7815 -
Added self in the method call
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Added more loggers
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Updated handler file
e454733
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Added new handler
Added new handler7c90bcf -
Duplicate from Salesforce/blip2-opt-2.7b
Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>28b2957