Instructions to use gghsgn/final200 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gghsgn/final200 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="gghsgn/final200")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("gghsgn/final200") model = AutoModelForObjectDetection.from_pretrained("gghsgn/final200") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by gghsgn - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:48ff474ce691b16ba903bc380593147e90c96b6d95e69818369890cdc44dc0b5
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size 25914032
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