Instructions to use gghsgn/helm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gghsgn/helm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="gghsgn/helm")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("gghsgn/helm") model = AutoModelForObjectDetection.from_pretrained("gghsgn/helm") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model (#5)
Browse files- Adding `safetensors` variant of this model (a87d072e4c7e82560e1165b016732a8e320b3ec9)
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:bc11ad01dcd0bad7db530f3851f98f097321ed65cd644e1f79f653853318ff46
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size 25914032
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