Automatic Speech Recognition
Transformers
Safetensors
PyTorch
arkasr
text-generation
speech
audio
vllm
ark-asr
custom_code
Eval Results
Instructions to use AutoArk-AI/ARK-ASR-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AutoArk-AI/ARK-ASR-3B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="AutoArk-AI/ARK-ASR-3B", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("AutoArk-AI/ARK-ASR-3B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 562d356ab0968d6266ea70b251a5f5843c5f9264f1d6c77cdc106813578146ab
- Size of remote file:
- 5 GB
- SHA256:
- b0f93d36c42c3487d95532c7d54952c7810bf629ee2a2265ed4e2f9e988e5342
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