Mask Generation
Transformers
Safetensors
falcon_perception
text-generation
falcon
segmentation
vision-language
open-vocabulary
custom_code
Eval Results
Instructions to use tiiuae/Falcon-Perception with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tiiuae/Falcon-Perception with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="tiiuae/Falcon-Perception", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("tiiuae/Falcon-Perception", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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If you use Falcon Perception, please cite:
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```bibtex
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author
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If you use Falcon Perception, please cite:
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```bibtex
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@article{bevli2026falcon,
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title = {Falcon Perception},
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author = {Bevli, Aviraj and Chaybouti, Sofian and Dahou, Yasser and Hacid, Hakim and Huynh, Ngoc Dung and Le Khac, Phuc H. and Narayan, Sanath and Para, Wamiq Reyaz and Singh, Ankit},
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journal = {arXiv preprint arXiv:2603.27365},
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year = {2026},
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url = {https://arxiv.org/abs/2603.27365}
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}
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```
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