Model Details
Full Model IDmicrosoft/resnet-50
Pipeline / Taskimage-classification
Librarytransformers
Downloads (all-time)1.7M
Likes506
Last Modified2/13/2024
Author / Orgmicrosoft
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("image-classification", model="microsoft/resnet-50")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerspytorchtfjaxsafetensorsresnetimage-classificationvisiondataset:imagenet-1karxiv:1512.03385license:apache-2.0endpoints_compatibledeploy:azureregion:us
More Image Classification Models
See all →🚀 Use This Model
Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🖼️ Task: Image Classification
This model is designed for the Image Classification task. Explore more models for this use case.
All Image Classification Models →📊 Popularity
⬇ Downloads1.7M
❤️ Community Likes506
🛠️ Requirements
- →Install: pip install transformers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.