Instructions to use madhubalajik96/YoloS_Emotiondetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use madhubalajik96/YoloS_Emotiondetection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="madhubalajik96/YoloS_Emotiondetection")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("madhubalajik96/YoloS_Emotiondetection") model = AutoModelForObjectDetection.from_pretrained("madhubalajik96/YoloS_Emotiondetection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Rename preprocessor_config (1).json to preprocessor_config.json
#2 opened about 3 years ago
by
shllgtca
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot