Image Feature Extraction
Transformers
Safetensors
dinov2_with_registers
geospatial
remote-sensing
multimodal
self-supervised
dinov2
titaan
Instructions to use hwh-datascience/TITAAN-SD-yearly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hwh-datascience/TITAAN-SD-yearly with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="hwh-datascience/TITAAN-SD-yearly")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hwh-datascience/TITAAN-SD-yearly") model = AutoModel.from_pretrained("hwh-datascience/TITAAN-SD-yearly", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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TITAAN-SD-yearly is shared for early testing only. To request access, contact datascience@hetwaterschapshuis.nl.
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