Instructions to use fcanercan/whisperft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fcanercan/whisperft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="fcanercan/whisperft")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("fcanercan/whisperft") model = AutoModelForSpeechSeq2Seq.from_pretrained("fcanercan/whisperft") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2000
Browse files
pytorch_model.bin
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runs/Aug17_20-33-17_44a3684bd17d/events.out.tfevents.1692304425.44a3684bd17d.603.0
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