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villesau /whisper-timestamped:c27390c3

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_file
string
Audio file to transcribe
language
string
auto
Language code (e.g., 'en') or 'auto' for auto-detect
task
string (enum)
transcribe

Options:

transcribe, translate

Task to perform
vad
boolean
False
Use Voice Activity Detection
detect_disfluencies
boolean
False
Detect speech disfluencies
compute_word_confidence
boolean
True
Compute word confidence scores
temperature
number
0
Temperature for sampling
best_of
integer
Number of candidates when sampling with non-zero temperature
beam_size
integer
Number of beams in beam search, only applicable when temperature is zero
patience
number
Optional patience value to use in beam decoding
length_penalty
number
Optional token length penalty coefficient (alpha) as in https://arxiv.org/abs/1609.08144
suppress_tokens
string
-1
Comma-separated list of token ids to suppress during sampling
initial_prompt
string
Optional text to provide as a prompt for the first window
condition_on_previous_text
boolean
True
Whether to condition on previous text
no_speech_threshold
number
0.6
Threshold for no speech probability
compression_ratio_threshold
number
2.4
Threshold for compression ratio
logprob_threshold
number
-1
Threshold for average log probability
verbose
boolean
False
Whether to display the text being decoded

Output schema

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

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