Instructions to use smutuvi/flower_count_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use smutuvi/flower_count_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="smutuvi/flower_count_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("smutuvi/flower_count_model") model = AutoModelForObjectDetection.from_pretrained("smutuvi/flower_count_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from smutuvi/flower_count_model: direct link, hf CLI and curl.
- Browser
- Download file 158 Bytes
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https://huggingface.co/smutuvi/flower_count_model/resolve/main/README.md
- Command line
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hf download hf://smutuvi/flower_count_model/README.md
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curl -L -o README.md https://huggingface.co/smutuvi/flower_count_model/resolve/main/README.md
158 Bytes
metadata
library_name: transformers
tags: []
Flower Count Model
The model detects and counts bushbean flowers from image data captured using smartphones.