Instructions to use Sisigoks/FloraSense with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sisigoks/FloraSense with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Sisigoks/FloraSense") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Sisigoks/FloraSense") model = AutoModelForImageClassification.from_pretrained("Sisigoks/FloraSense", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee7cc22070b9a629e8c95306a362d3011e8717e652d1fe564ec130dfb5169544
- Size of remote file:
- 5.3 kB
- SHA256:
- ff05a876d299e8b9cb3ecb9a824fa3ba04fc4a226edaa1a72a01615c083459f2
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