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 TechnoBaptist/interfaze-1-lite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TechnoBaptist/interfaze-1-lite with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TechnoBaptist/interfaze-1-lite", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download segmenter/model.pt from TechnoBaptist/interfaze-1-lite: direct link, hf CLI and curl.
- Browser
- Download file 898 MB
-
https://huggingface.co/TechnoBaptist/interfaze-1-lite/resolve/main/segmenter/model.pt
- Command line
-
hf download hf://TechnoBaptist/interfaze-1-lite/segmenter/model.pt
-
curl -L -o model.pt https://huggingface.co/TechnoBaptist/interfaze-1-lite/resolve/main/segmenter/model.pt
898 MB
- Xet hash:
- 7d4186f06e8d84e149398d2a005b3b18e1e77584f33dfcc9204cd3ca02ccd38c
- Size of remote file:
- 898 MB
- SHA256:
- 2647878d5dfa5098f2f8649825738a9345572bae2d4350a2468587ece47dd318
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