panagiotidi

Same, just tried `ggml-large-v3` and the transcription is practically gibberish

> Best recommendation in the mean time is to define a custom pipeline, where you process the inputs before feeding them to `super.preprocess`! Thanks for your reply, I now understand...

I am actually trying to implement the `--logprob_threshold` from the original paper of whisper as I would like to be able to experiment with it when transcribing. There is a...

Running into the same issue: ``` import torch import gdown from transformers import pipeline, AutomaticSpeechRecognitionPipeline, Pipeline, GenerationConfig, \ WhisperTokenizer, WhisperModel, WhisperConfig, WhisperForConditionalGeneration, WhisperTokenizerFast, \ WhisperProcessor url = 'https://drive.google.com/uc?id=1IcnHiL5gdGs8zr-NwuSQm_hsAZugz4mq' audio_path =...