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
Download asr_fallback/preprocessor_config.json from interfaze-ai/interfaze-1-lite: direct link, hf CLI and curl.
- Browser
- Download file 340 Bytes
-
https://huggingface.co/interfaze-ai/interfaze-1-lite/resolve/main/asr_fallback/preprocessor_config.json
- Command line
-
hf download hf://interfaze-ai/interfaze-1-lite/asr_fallback/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/interfaze-ai/interfaze-1-lite/resolve/main/asr_fallback/preprocessor_config.json
340 Bytes
| { | |
| "chunk_length": 30, | |
| "feature_extractor_type": "WhisperFeatureExtractor", | |
| "feature_size": 128, | |
| "hop_length": 160, | |
| "n_fft": 400, | |
| "n_samples": 480000, | |
| "nb_max_frames": 3000, | |
| "padding_side": "right", | |
| "padding_value": 0.0, | |
| "processor_class": "WhisperProcessor", | |
| "return_attention_mask": false, | |
| "sampling_rate": 16000 | |
| } | |