Automatic Speech Recognition
Transformers
Safetensors
PyTorch
arkasr
text-generation
speech
audio
ark-asr
custom_code
Eval Results
Instructions to use Edge0/ARK-ASR-0.6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Edge0/ARK-ASR-0.6B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Edge0/ARK-ASR-0.6B", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Edge0/ARK-ASR-0.6B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download processor_config.json from Edge0/ARK-ASR-0.6B: direct link, hf CLI and curl.
- Browser
- Download file 201 Bytes
-
https://huggingface.co/Edge0/ARK-ASR-0.6B/resolve/main/processor_config.json
- Command line
-
hf download hf://Edge0/ARK-ASR-0.6B/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/Edge0/ARK-ASR-0.6B/resolve/main/processor_config.json
201 Bytes
| { | |
| "audio_dtype": "bfloat16", | |
| "audio_token": "<|audio|>", | |
| "auto_map": { | |
| "AutoProcessor": "processing_arkasr.ArkasrProcessor" | |
| }, | |
| "merge_factor": 4, | |
| "processor_class": "ArkasrProcessor" | |
| } | |