# Load model directly
from transformers import ClassificationModelForDogEmotion
model = ClassificationModelForDogEmotion.from_pretrained("Dewa/Dog_Model_From_Scratch_v2", dtype="auto")Quick Links
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Model Details
Model Description
- Developed by: Dewa Sahu using pytorch
- Model type: Image Classification
Uses
use for predicting the dogs emotion
Training Data
Dewa/Dog_Emotion_Dataset_v2
Hardware
T4 GPU
Software
Google Colab used for training
- Downloads last month
- 25
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Dewa/Dog_Model_From_Scratch_v2") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")