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
Download main_fig.jpg from tiiuae/Falcon-Perception: direct link, hf CLI and curl.
- Browser
- Download file 1.48 MB
-
https://huggingface.co/tiiuae/Falcon-Perception/resolve/main/main_fig.jpg
- Command line
-
hf download hf://tiiuae/Falcon-Perception/main_fig.jpg
-
curl -L -o main_fig.jpg https://huggingface.co/tiiuae/Falcon-Perception/resolve/main/main_fig.jpg
1.48 MB

- Xet hash:
- 08ef4b3db0d5c8a4455cf3ae4dd53b3148127e5121feb31a36c874189eea658f
- Size of remote file:
- 1.48 MB
- SHA256:
- a25a745799ac3cf2967620af6936fa35cb3534b73ff93e42acd37adb67a03c34
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