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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- segmentation
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- vision-language
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- open-vocabulary
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---
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<img src="main_fig.jpg" width="480" alt="Falcon Perception"/>
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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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- segmentation
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- vision-language
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license: apache-2.0
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---
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<img src="main_fig.jpg" width="480" alt="Falcon Perception"/>
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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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