Image Feature Extraction
Transformers
Safetensors
dinov2_with_registers
vision
plants
self-supervised-learning
trained-from-scratch
simdinov2
plantnet
imagenet-1k
vision-transformer
feature-extraction
Instructions to use PlantNet/simdinov2-vit-large-pn22m-in1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PlantNet/simdinov2-vit-large-pn22m-in1k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="PlantNet/simdinov2-vit-large-pn22m-in1k")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("PlantNet/simdinov2-vit-large-pn22m-in1k") model = AutoModel.from_pretrained("PlantNet/simdinov2-vit-large-pn22m-in1k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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