Image-Text-to-Image
Transformers
Safetensors
interfaze_lite
feature-extraction
vlm
multimodal
multilingual
mixture-of-architectures
ocr
document-understanding
speech-recognition
speaker-diarization
object-detection
gui-grounding
image-segmentation
translation
time-series-forecasting
guardrails
structured-output
agent
custom_code
Instructions to use interfaze-ai/interfaze-1-lite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use interfaze-ai/interfaze-1-lite with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("interfaze-ai/interfaze-1-lite", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle