Instructions to use google/efficientnet-b7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/efficientnet-b7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="google/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("google/efficientnet-b7") model = AutoModelForImageClassification.from_pretrained("google/efficientnet-b7") - Inference
- Notebooks
- Google Colab
- Kaggle
Does it can be deployed on TEI?
#4 opened over 1 year ago
by
qinrong
Converting logits to probability
#3 opened almost 3 years ago
by
ToonWeyens
Adding `safetensors` variant of this model
#2 opened about 3 years ago
by
SFconvertbot
'efficientnet' not anymore a valid key of CONFIG_MAPPING
#1 opened about 3 years ago
by
jmassot