Automatic Speech Recognition
Transformers
Safetensors
PyTorch
arkasr
text-generation
speech
audio
vllm
ark-asr
custom_code
Eval Results
Instructions to use Edge0/ARK-ASR-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Edge0/ARK-ASR-3B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Edge0/ARK-ASR-3B", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Edge0/ARK-ASR-3B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Recompute mean WER after TEDLIUM result
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Add TEDLIUM WER eval result
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Update ARK-ASR-3B eval metrics
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Update evaluation source
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Update README
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Add files using upload-large-folder tool
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Test hf-mirror upload path
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initial commit
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