Object Detection
Transformers
Safetensors
falcon_perception
text-generation
falcon
detection
vision-language
open-vocabulary
custom_code
Instructions to use tiiuae/Falcon-Perception-300M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tiiuae/Falcon-Perception-300M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="tiiuae/Falcon-Perception-300M", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("tiiuae/Falcon-Perception-300M", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from tiiuae/Falcon-Perception-300M: direct link, hf CLI and curl.
- Browser
- Download file 5.06 MB
-
https://huggingface.co/tiiuae/Falcon-Perception-300M/resolve/main/tokenizer.json
- Command line
-
hf download hf://tiiuae/Falcon-Perception-300M/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/tiiuae/Falcon-Perception-300M/resolve/main/tokenizer.json
5.06 MB
File too large to display, you can check the raw version instead.