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
Add PBench evaluation results
Browse files- .eval_results/pbench.yaml +56 -0
.eval_results/pbench.yaml
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- dataset:
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id: tiiuae/PBench
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task_id: level_0
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value: 65.1
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date: '2026-03-28'
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source:
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url: https://arxiv.org/abs/2603.27365
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name: Falcon Perception paper
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- dataset:
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id: tiiuae/PBench
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task_id: level_1
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value: 63.6
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date: '2026-03-28'
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source:
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url: https://arxiv.org/abs/2603.27365
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name: Falcon Perception paper
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- dataset:
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id: tiiuae/PBench
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task_id: level_2
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value: 38.0
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date: '2026-03-28'
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source:
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url: https://arxiv.org/abs/2603.27365
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name: Falcon Perception paper
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- dataset:
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id: tiiuae/PBench
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task_id: level_3
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value: 53.5
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date: '2026-03-28'
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source:
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url: https://arxiv.org/abs/2603.27365
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name: Falcon Perception paper
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- dataset:
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id: tiiuae/PBench
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task_id: level_4
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value: 49.1
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date: '2026-03-28'
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source:
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url: https://arxiv.org/abs/2603.27365
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name: Falcon Perception paper
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- dataset:
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id: tiiuae/PBench
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task_id: dense
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value: 72.6
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date: '2026-03-28'
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source:
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url: https://arxiv.org/abs/2603.27365
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name: Falcon Perception paper
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- dataset:
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id: tiiuae/PBench
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task_id: average
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value: 57.0
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date: '2026-03-28'
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source:
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url: https://arxiv.org/abs/2603.27365
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| 56 |
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name: Falcon Perception paper
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