Instructions to use Shubhamai/efficientnet-b7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shubhamai/efficientnet-b7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Shubhamai/efficientnet-b7") 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("Shubhamai/efficientnet-b7") model = AutoModelForImageClassification.from_pretrained("Shubhamai/efficientnet-b7") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
aa0d3ee | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:7d394996f10cc5a49fbcc5faf91d8f649df5c26ccaa96826d975bad060dc1e98
size 266675340
|