Instructions to use maazie/EfficientNetB0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maazie/EfficientNetB0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="maazie/EfficientNetB0") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("maazie/EfficientNetB0") model = AutoModelForImageClassification.from_pretrained("maazie/EfficientNetB0") - Notebooks
- Google Colab
- Kaggle
Commit ·
2bc7ebf
1
Parent(s): 5e8e999
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (390d4001b2c8a4261332c7f355ae9172a38b32b8)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c3cd95b350e7867c1947da57988b80b6070deb35c8af719845c964249a842033
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size 21369176
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