Automatic Speech Recognition
Transformers
Safetensors
arkasr
text-generation
audio8
vietnamese
custom_code
Instructions to use sonixnguyen/Audio8-ASR-0.1B-vi-pilot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sonixnguyen/Audio8-ASR-0.1B-vi-pilot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sonixnguyen/Audio8-ASR-0.1B-vi-pilot", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("sonixnguyen/Audio8-ASR-0.1B-vi-pilot", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Audio8-ASR-0.1B + tiếng Việt (pilot)
Fine-tune pilot từ Edge0/Audio8-ASR-0.1B: freeze audio encoder, train MLP tower + projector + decoder 0.1B.
- Data: FLEURS
vi_vntrain + ~10k câu Dolly-Audio (TTS, CC-BY-NC-SA) - Kết quả:
pilot_results.json(WER/CER trên FLEURS vi_vn dev/test) - Chưa đủ để dùng thật (data quá ít) — xem script train kèm theo, cần bud500-scale data.
from transformers import AutoModelForCausalLM, AutoProcessor
proc = AutoProcessor.from_pretrained('sonixnguyen/Audio8-ASR-0.1B-vi-pilot', trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained('sonixnguyen/Audio8-ASR-0.1B-vi-pilot', trust_remote_code=True, dtype='bfloat16', attn_implementation='eager')
Non-commercial: CC-BY-NC-4.0 (base model license).
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Model tree for sonixnguyen/Audio8-ASR-0.1B-vi-pilot
Base model
Edge0/Audio8-ASR-0.1B