Instructions to use OttoYu/Tree-ConditionHK with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OttoYu/Tree-ConditionHK with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="OttoYu/Tree-ConditionHK")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("OttoYu/Tree-ConditionHK") model = AutoModelForImageClassification.from_pretrained("OttoYu/Tree-ConditionHK") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3
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 sha256:5de47190ad5c083af09f82ba946673a446131f14941686cf190c116ded0884ca
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size 347580816
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