Automatic Speech Recognition
MLX
ONNX
GGUF
Rust
English
Chinese
audio8
streaming-asr
quantized
experimental
Instructions to use Reza2kn/Audio8-ASR-Infinite-Compressed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Reza2kn/Audio8-ASR-Infinite-Compressed with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download Reza2kn/Audio8-ASR-Infinite-Compressed --local-dir Audio8-ASR-Infinite-Compressed
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download sources/qualification-snapshot/scripts/validate_caption_run.py from Reza2kn/Audio8-ASR-Infinite-Compressed: direct link, hf CLI and curl.
- Browser
- Download file 6.04 kB
-
https://huggingface.co/Reza2kn/Audio8-ASR-Infinite-Compressed/resolve/main/sources/qualification-snapshot/scripts/validate_caption_run.py
- Command line
-
hf download hf://Reza2kn/Audio8-ASR-Infinite-Compressed/sources/qualification-snapshot/scripts/validate_caption_run.py
-
curl -L -o validate_caption_run.py https://huggingface.co/Reza2kn/Audio8-ASR-Infinite-Compressed/resolve/main/sources/qualification-snapshot/scripts/validate_caption_run.py
6.04 kB
| """Independent validation of append-only live caption events and host receipts.""" | |
| import hashlib,struct,math | |
| from pathlib import Path | |
| from probe_native_stream import token_table,token_oracle | |
| from score_stream_latency import score | |
| def require(value,message): | |
| if not value:raise ValueError(message) | |
| def validate(rows,observations,case,tokenizer,*,frozen_segments=None,expected_ids=None): | |
| require(len(rows)==len(observations) and len(rows)>=2,'observer event coverage') | |
| require(rows[0]['kind']=='caption_stream_ready' and rows[-1]['kind']=='caption_stream_complete','caption envelope') | |
| allowed={'caption_stream_ready','caption_segment_start','caption_window','caption_text_delta','caption_segment_end','caption_stream_complete'} | |
| require(all(r['kind'] in allowed for r in rows),'unknown caption event') | |
| require(sum(r['kind']=='caption_stream_ready' for r in rows)==sum(r['kind']=='caption_stream_complete' for r in rows)==1,'duplicate envelope') | |
| final=rows[-1];require(final['status']=='complete' and final['audio_samples']==case['samples'] and final['input_sha256']==case['sha256'],'input identity/completion') | |
| table=token_table(tokenizer);allids=[];local=[];segments=[];active=None;previous_end=0;oracle=[];actual=[];deltas=[];last_time=-1 | |
| for i,(r,o) in enumerate(zip(rows,observations)): | |
| require(o['event_index']==i and o['kind']==r['kind'] and o.get('index')==r.get('index'),'host observation mapping') | |
| at=o['received_seconds_since_feeder_start'] | |
| if r['kind']=='caption_stream_ready':continue | |
| require(type(at) in (int,float) and math.isfinite(at) and at>=max(0,last_time),'receipt clock') | |
| last_time=at | |
| if r['kind']=='caption_segment_start': | |
| require(active is None and r['segment']==len(segments),'segment ordering') | |
| active=dict(id=r['segment'],start_sample=r['start_sample'],decision_sample=r['decision_sample']) | |
| require(previous_end<=active['start_sample']<=active['decision_sample'] and active['start_sample']==max(previous_end,active['decision_sample']-6400) and active['decision_sample']%512==0,'activation/preroll') | |
| local=[] | |
| elif r['kind']=='caption_window': | |
| require(active is not None and r['segment']==active['id'],'window outside active session') | |
| require(r['index']==len(allids) and r['segment_index']==len(local),'global/local clock') | |
| token=r['token_id'];require(type(token) is int and 0<=token<table['model_count'] and token!=151645,'invalid/suppressed token') | |
| require(r['source_dependency_sample']==active['start_sample']+len(local)*1280+40,'source window clock') | |
| require(r['available_source_sample']>=active['decision_sample'] and r['available_source_sample']<=case['samples'],'source availability') | |
| require(type(r['eof_drain']) is bool and r['eof_drain']==(r['source_dependency_sample']>r['available_source_sample']),'EOF right padding') | |
| require(0<=r['cache_bytes']<=220_000_000 and r['rolling_trims']>=0,'cache bound') | |
| require(r['work_seconds']>=0 and r['queue_seconds'] is not None and r['queue_seconds']>=0,'live timing values') | |
| local.append(r);allids.append(token) | |
| elif r['kind']=='caption_text_delta': | |
| require(active is not None and r['segment']==active['id'] and type(r['text']) is str,'text outside session') | |
| actual.append(r['text']);deltas.append(dict(text=r['text'],seconds=at)) | |
| elif r['kind']=='caption_segment_end': | |
| require(active is not None and r['segment']==active['id'] and r['start_sample']==active['start_sample'],'end identity') | |
| length=r['end_sample']-active['start_sample'];require(length>0,'empty segment') | |
| count=max(0,(length+(14*1280 if r['final_eof'] else 0)-40)//1280+1) | |
| require(len(local)==r['windows']==count,'segment complete windows') | |
| require(not r['final_eof'] or r['end_sample']==case['samples'],'nonfinal source EOF') | |
| require(r['final_eof'] or (r['end_sample']%512==0 and not any(w['eof_drain'] for w in local)),'synthetic nonfinal EOF') | |
| consumed=min(length,(count-1)*1280+40) if count else 0 | |
| require(r['unconsumed_samples']==length-consumed,'explicit unconsumed tail') | |
| require(all(w['available_source_sample']<=r['end_sample'] for w in local),'read beyond segment boundary') | |
| text=token_oracle([w['token_id'] for w in local],table)['text'] | |
| if text:oracle.append(text) | |
| segments.append(dict(active,end_sample=r['end_sample'],final_eof=r['final_eof'],windows=count,unconsumed_samples=r['unconsumed_samples'])) | |
| previous_end=r['end_sample'];active=None | |
| require(active is None and len(segments)==final['segments'] and len(allids)==final['emissions'],'final accounting') | |
| require(''.join(actual)=='\n'.join(oracle),'independent text oracle') | |
| require(sum(len(t.encode('utf8')) for t in actual)==final['text_bytes'],'text byte count') | |
| require(hashlib.sha256(b''.join(struct.pack('<I',i) for i in allids)).hexdigest()==final['generated_ids_sha256'],'token digest') | |
| require(sum(s['end_sample']-s['start_sample'] for s in segments)==final['selected_samples'] and sum(s['unconsumed_samples'] for s in segments)==final['unconsumed_selected_samples'],'selected input accounting') | |
| require(final['max_retained_input_samples']<=6912,'bounded input') | |
| if frozen_segments is not None: | |
| require(len(segments)==len(frozen_segments),'frozen segment count') | |
| for got,expected in zip(segments,frozen_segments): | |
| require(all(got[k]==expected[k] for k in ('id','start_sample','end_sample','decision_sample','final_eof')),'frozen segment decision') | |
| if expected_ids is not None:require(allids==expected_ids,'exact prior candidate IDs') | |
| scored=score(case,deltas,actual_arrival_paced=True,timing_basis='Independent host receipt of flushed JSONL since paced20ms producer start; all source words retained') | |
| windows=[r for r in rows if r['kind']=='caption_window'] | |
| return dict(status='complete',summary=final,score=scored,segments=segments, | |
| all_ids_exact_expected=(True if expected_ids is not None else None),independent_tokenizer_oracle=True, | |
| max_queue_seconds=max((w['queue_seconds'] for w in windows),default=0.), | |
| no_synthetic_nonfinal_eof=True,retention_bounded=True,release_qualification=False) | |