Audio-Text-to-Text
Transformers
Safetensors
edgeinstant
feature-extraction
audio
text-to-speech
custom_code
Instructions to use chenjz24/EdgeIn-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chenjz24/EdgeIn-v3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("chenjz24/EdgeIn-v3", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 315 Bytes
d81a465 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"chunk_length": 30,
"dither": 0.0,
"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,
"return_attention_mask": true,
"sampling_rate": 16000
}
|