Instructions to use Willy030125/Whisper-base-minds14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Willy030125/Whisper-base-minds14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Willy030125/Whisper-base-minds14")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Willy030125/Whisper-base-minds14") model = AutoModelForSpeechSeq2Seq.from_pretrained("Willy030125/Whisper-base-minds14") - Notebooks
- Google Colab
- Kaggle
Whisper-base-minds14
Dataset source: https://huggingface.co/datasets/PolyAI/minds14
Model used for Fine Tuning: https://huggingface.co/openai/whisper-base
Trained on Colab T4 @ 2 epoch (910 steps)
Usage:
from transformers import WhisperProcessor, WhisperForConditionalGeneration
processor = WhisperProcessor.from_pretrained("Willy030125/Whisper-base-minds14")
model = WhisperForConditionalGeneration.from_pretrained("Willy030125/Whisper-base-minds14")
- Downloads last month
- 3