Instructions to use shilpid/candy-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shilpid/candy-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="shilpid/candy-finetuned")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("shilpid/candy-finetuned") model = AutoModelForObjectDetection.from_pretrained("shilpid/candy-finetuned") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:974793ea74e5b75b3782db78f2257c24f7ca8cc5d2771bde1f251bab9ce7cb5c
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size 166502564
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