Instructions to use dhhd255/EfficientNet_ParkinsonsPred with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dhhd255/EfficientNet_ParkinsonsPred with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="dhhd255/EfficientNet_ParkinsonsPred")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("dhhd255/EfficientNet_ParkinsonsPred") model = AutoModel.from_pretrained("dhhd255/EfficientNet_ParkinsonsPred") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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 sha256:00545247ba7318a160f22d0138fbcec1fac0a8f57fdda20c70c7f5b521cf8133
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size 256533560
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