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
| { | |
| "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 | |
| } | |