Automatic Speech Recognition
Transformers
Safetensors
PyTorch
arkasr
text-generation
speech
audio
multilingual
hotword
audio8
custom_code
Eval Results
Instructions to use Audio8/Audio8-ASR-0.1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Audio8/Audio8-ASR-0.1B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Audio8/Audio8-ASR-0.1B", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Audio8/Audio8-ASR-0.1B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 201 Bytes
25ae981 | 1 2 3 4 5 6 7 8 9 10 | {
"audio_dtype": "bfloat16",
"audio_token": "<|audio|>",
"auto_map": {
"AutoProcessor": "processing_arkasr.ArkasrProcessor"
},
"merge_factor": 4,
"processor_class": "ArkasrProcessor"
}
|