Instructions to use Yulle/WhisperCheckpoints2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yulle/WhisperCheckpoints2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Yulle/WhisperCheckpoints2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Yulle/WhisperCheckpoints2") model = AutoModelForSpeechSeq2Seq.from_pretrained("Yulle/WhisperCheckpoints2") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1000
Browse files- model.safetensors +1 -1
- runs/Dec02_17-28-33_49e0f9b735a7/events.out.tfevents.1701538118.49e0f9b735a7.5026.0 +2 -2
- runs/Dec02_19-39-55_49e0f9b735a7/events.out.tfevents.1701546014.49e0f9b735a7.36708.0 +3 -0
- runs/Dec02_21-42-55_49e0f9b735a7/events.out.tfevents.1701553394.49e0f9b735a7.71270.0 +3 -0
- training_args.bin +1 -1
model.safetensors
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