Instructions to use gghsgn/tes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gghsgn/tes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="gghsgn/tes")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("gghsgn/tes") model = AutoModelForObjectDetection.from_pretrained("gghsgn/tes") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (26b8104099338e88ae09bfd4a56ce2c446c2510b)
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8705a3a78c673133337166c76a02ee3e86050e787ec9b915b425536c44e111fd
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size 25914032
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