Automatic Speech Recognition
Transformers
Safetensors
PyTorch
arkasr
text-generation
speech
audio
ark-asr
custom_code
Instructions to use AutoArk-AI/ARK-ASR-0.6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AutoArk-AI/ARK-ASR-0.6B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="AutoArk-AI/ARK-ASR-0.6B", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("AutoArk-AI/ARK-ASR-0.6B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 434 Bytes
05f7466 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"auto_map": {
"AutoProcessor": "processing_arkasr.ArkasrProcessor"
},
"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,
"processor_class": "ArkasrProcessor",
"return_attention_mask": false,
"sampling_rate": 16000
}
|