Image Classification
Transformers
Safetensors
English
vit
vision
biology
ecology
phenology
plants
plant-phenology
iNaturalist
Eval Results (legacy)
Instructions to use phenobase/phenovision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phenobase/phenovision with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="phenobase/phenovision") 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("phenobase/phenovision") model = AutoModelForImageClassification.from_pretrained("phenobase/phenovision") - Notebooks
- Google Colab
- Kaggle
preprocessor_config.json missing
#1
by EdwardJKing - opened
Trying to use this model generates an error:
OSError: Can't load image processor for 'phenobase/phenovision'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'phenobase/phenovision' is the correct path to a directory containing a preprocessor_config.json file
Where can I find the JSON file for preprocessing?