Model: Rodolfo98Mendoza/whisper-edu-v0.2
Author: Rodolfo98Mendoza
Pipeline: automatic-speech-recognition
Tags: tensorboard, safetensors, whisper, automatic-speech-recognition, speech-to-text, english, lecture-transcription, base_model:openai/whisper-base, base_model:finetune:openai/whisper-base, license:apache-2.0, region:us
Base models (finetune): id: openai/whisper-base
Card metadata: tags: automatic-speech-recognition, speech-to-text, whisper, english, lecture-transcription
license: apache-2.0
base_model: openai/whisper-base
widget: from transformers import pipeline pipe = pipeline("automatic-speech-recognition", 
                model="Rodolfo98Mendoza/whisper-edu-v0.2", device=0)
print(pipe("path/to/audio.wav")["text"])

metrics: name: WER
type: word_error_rate
value: 0.1276
dataset: train: 70k lecture chunks
validation: 2k held-out
steps: 4k
Likes: 0 | All-time downloads: 8
Created: 2025-05-04 06:31:37