Fix variable name reference (#77)

This commit is contained in:
Jordi Mas
2023-03-25 10:00:59 +01:00
committed by GitHub
parent a10732c74a
commit f8d2fb169f

View File

@@ -164,13 +164,13 @@ class WhisperModel:
length_penalty: Exponential length penalty constant. length_penalty: Exponential length penalty constant.
temperature: Temperature for sampling. It can be a tuple of temperatures, temperature: Temperature for sampling. It can be a tuple of temperatures,
which will be successively used upon failures according to either which will be successively used upon failures according to either
`compression_ratio_threshold` or `logprob_threshold`. `compression_ratio_threshold` or `log_prob_threshold`.
compression_ratio_threshold: If the gzip compression ratio is above this value, compression_ratio_threshold: If the gzip compression ratio is above this value,
treat as failed. treat as failed.
log_prob_threshold: If the average log probability over sampled tokens is log_prob_threshold: If the average log probability over sampled tokens is
below this value, treat as failed. below this value, treat as failed.
no_speech_threshold: If the no_speech probability is higher than this value AND no_speech_threshold: If the no_speech probability is higher than this value AND
the average log probability over sampled tokens is below `logprob_threshold`, the average log probability over sampled tokens is below `log_prob_threshold`,
consider the segment as silent. consider the segment as silent.
condition_on_previous_text: If True, the previous output of the model is provided condition_on_previous_text: If True, the previous output of the model is provided
as a prompt for the next window; disabling may make the text inconsistent across as a prompt for the next window; disabling may make the text inconsistent across