Automatic Speech Recognition
Transformers
Safetensors
PyTorch
arkasr
text-generation
speech
audio
multilingual
hotword
audio8
custom_code
Eval Results
Instructions to use Edge0/Audio8-ASR-0.1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Edge0/Audio8-ASR-0.1B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Edge0/Audio8-ASR-0.1B", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Edge0/Audio8-ASR-0.1B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from Edge0/Audio8-ASR-0.1B: direct link, hf CLI and curl.
- Browser
- Download file 184 Bytes
-
https://huggingface.co/Edge0/Audio8-ASR-0.1B/resolve/main/.gitattributes
- Command line
-
hf download hf://Edge0/Audio8-ASR-0.1B/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/Edge0/Audio8-ASR-0.1B/resolve/main/.gitattributes
184 Bytes
| *.safetensors filter=lfs diff=lfs merge=lfs -text | |
| tokenizer.json filter=lfs diff=lfs merge=lfs -text | |
| assets/audio8-teaser-aurora-redesign-final.mp4 filter=lfs diff=lfs merge=lfs -text | |