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interfaze-ai
/
interfaze-1-lite

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
Model card Files Files and versions
xet
Community

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
interfaze-1-lite / asr_fallback
1.62 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
HV-Khurdula's picture
HV-Khurdula
Initial commit
e41dcb1 6 days ago
  • added_tokens.json
    34.6 kB
    Initial commit 6 days ago
  • config.json
    1.2 kB
    Initial commit 6 days ago
  • generation_config.json
    3.77 kB
    Initial commit 6 days ago
  • merges.txt
    494 kB
    Initial commit 6 days ago
  • model.safetensors
    1.62 GB
    xet
    Initial commit 6 days ago
  • normalizer.json
    52.7 kB
    Initial commit 6 days ago
  • preprocessor_config.json
    340 Bytes
    Initial commit 6 days ago
  • special_tokens_map.json
    2.19 kB
    Initial commit 6 days ago
  • tokenizer.json
    2.48 MB
    Initial commit 6 days ago
  • tokenizer_config.json
    283 kB
    Initial commit 6 days ago
  • vocab.json
    1.04 MB
    Initial commit 6 days ago