Instructions to use taohungchang/candy_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use taohungchang/candy_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="taohungchang/candy_model")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("taohungchang/candy_model") model = AutoModelForObjectDetection.from_pretrained("taohungchang/candy_model") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 4c515d7
Model save
Browse files
pytorch_model.bin
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runs/Jul04_19-50-33_f262cab81606/events.out.tfevents.1688500295.f262cab81606.15467.0
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