Feature Extraction
Transformers
Safetensors
English
remote-sensing
earth-observation
vision
croma
sentinel-1
sentinel-2
multimodal
Instructions to use BiliSakura/CROMA-transformers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BiliSakura/CROMA-transformers with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="BiliSakura/CROMA-transformers")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BiliSakura/CROMA-transformers", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add model card metadata to README
Browse files
README.md
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# CROMA Transformers Models
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Self-contained HuggingFace model checkpoints for [CROMA](https://arxiv.org/pdf/2311.00566.pdf). Each subfolder ships its own model, image processor, and custom pipeline code — no external `croma` package required.
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---
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license: mit
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language:
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- en
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tags:
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- remote-sensing
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- earth-observation
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- vision
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- feature-extraction
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- croma
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- sentinel-1
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- sentinel-2
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- multimodal
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library_name: transformers
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pipeline_tag: feature-extraction
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---
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# CROMA Transformers Models
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Self-contained HuggingFace model checkpoints for [CROMA](https://arxiv.org/pdf/2311.00566.pdf). Each subfolder ships its own model, image processor, and custom pipeline code — no external `croma` package required.
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