Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
Generated from Trainer
Instructions to use Makkoen/whisper-large-v3-cit-do005-wd0-lr5e-06-steps2000-FULL6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Makkoen/whisper-large-v3-cit-do005-wd0-lr5e-06-steps2000-FULL6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Makkoen/whisper-large-v3-cit-do005-wd0-lr5e-06-steps2000-FULL6")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Makkoen/whisper-large-v3-cit-do005-wd0-lr5e-06-steps2000-FULL6") model = AutoModelForSpeechSeq2Seq.from_pretrained("Makkoen/whisper-large-v3-cit-do005-wd0-lr5e-06-steps2000-FULL6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1600
Browse files
model.safetensors
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runs/Nov26_09-11-57_whisper-finetune-2/events.out.tfevents.1732612345.whisper-finetune-2
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