How to use phenobase/phenovisionL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="phenobase/phenovisionL") 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/phenovisionL") model = AutoModelForImageClassification.from_pretrained("phenobase/phenovisionL", device_map="auto")
https://huggingface.co/phenobase/phenovisionL/resolve/main/epoch_1_threshold_buffers.csv
hf download hf://phenobase/phenovisionL/epoch_1_threshold_buffers.csv
curl -L -o epoch_1_threshold_buffers.csv https://huggingface.co/phenobase/phenovisionL/resolve/main/epoch_1_threshold_buffers.csv
