vm6eji6m4/whisper-chinese-pro-fast

Premium L40S edition - 3x faster than T4. Mandarin/Taiwanese/Hakka podcast transcription with speaker diarization.

Public
1 run

Run vm6eji6m4/whisper-chinese-pro-fast with an API

Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.

Input schema

The fields you can use to run this model with an API. If you don't give a value for a field its default value will be used.

Field Type Default value Description
audio
string
Audio file (mp3/wav/m4a/mp4). Or use file_url / file_string.
file_url
string
Audio file URL (alternative to `audio`). Public HTTPS URL.
file_string
string
Base64-encoded audio (alternative).
language
None
None
num_speakers
integer
0

Max: 10

Number of speakers (1-10). 0 = auto-detect.
prompt
string
None
use_builtin_vocab
boolean
True
None
enable_diarization
boolean
True
Run speaker diarization (requires hf_token).
gap_threshold
number
1.5

Min: 0.1

Max: 5

Merge adjacent same-speaker segments within this gap (seconds).
word_timestamps
boolean
False
Include per-word timestamps and per-word probability.
output_format
None
srt
Primary output format (JSON segments always included).
hf_token
string
None

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema
{
  "type": "object",
  "title": "Output"
}