Instructions to use google/mobilenet_v2_1.0_224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/mobilenet_v2_1.0_224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="google/mobilenet_v2_1.0_224") 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/mobilenet_v2_1.0_224") model = AutoModelForImageClassification.from_pretrained("google/mobilenet_v2_1.0_224", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Adding ONNX file of this model
2
#6 opened almost 3 years ago
by
negar-aliza
Adding `safetensors` variant of this model
3
#5 opened almost 3 years ago
by
madgetr
Adding `safetensors` variant of this model
#2 opened over 3 years ago
by
SFconvertbot
Accuracy?
3
#1 opened over 3 years ago
by
ayazdan