Automatic Speech Recognition
Transformers
Safetensors
PyTorch
arkasr
text-generation
speech
audio
multilingual
hotword
audio8
custom_code
Eval Results
Instructions to use AutoArk-AI/Audio8-ASR-0.1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AutoArk-AI/Audio8-ASR-0.1B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="AutoArk-AI/Audio8-ASR-0.1B", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("AutoArk-AI/Audio8-ASR-0.1B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c49fb3f3b3f6339f4eb2ff14e27f8306c6142f40e439887007219152e4eed53
- Size of remote file:
- 11.4 MB
- SHA256:
- 64ecaabc85a9272a8099f8aa7c097ce3a4c65a79bafbfd1450add736938ae45b
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