Instructions to use addisai/addis-scribe-streaming with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use addisai/addis-scribe-streaming with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("addisai/addis-scribe-streaming") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Commit History
2 days ago
-
Add GGUF (q8_0)
Verified signature86f46b0 -
Add notices
Verified signature4c5f585 -
Remove file
Verified signature8f84e36 -
Speaker-label notices for mobile
Verified signature5b2a68f
11 days ago
-
Add Q5_K alternate for Android transcription testing
Verified signatured28e255 -
Add Q8_0 GGUF export for offline Android transcription
Verified signature5434455
12 days ago
-
Model card: concise training description
Verified signature627d25c -
Model card: remove training-label attribution sentence
Verified signature7efd747 -
Model card: training data described as 5,000+ hours
Verified signaturef825d7a -
Model card: link Hohe, Shook, Chirp 3, WhisperLiveKit, FLEURS, WAXAL, NeMo; add references
Verified signature8e62021 -
Clarify how Shook (Whisper) was run live
Verified signature610c00d -
Addis Scribe Streaming: model card, benchmark records, renamed files
Verified signature34b0acf
13 days ago
-
nemotron-am-streaming-v2: streaming Amharic ASR (POLISH-B-best)
Verified signature7e2c57f -
initial commit
Verified signaturea521034