Image Classification
Transformers
LiteRT
Core ML
ONNX
Safetensors
mmfood-multitask
feature-extraction
convnext
food-recognition
multi-task
nutrition-estimation
custom_code
Instructions to use muhammadrafifatihulihsan/convnext-tiny-mmfood-multihead with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use muhammadrafifatihulihsan/convnext-tiny-mmfood-multihead with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="muhammadrafifatihulihsan/convnext-tiny-mmfood-multihead", trust_remote_code=True) pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("muhammadrafifatihulihsan/convnext-tiny-mmfood-multihead", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K