Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use Sandiago21/whisper-large-v2-greek with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sandiago21/whisper-large-v2-greek with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Sandiago21/whisper-large-v2-greek")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Sandiago21/whisper-large-v2-greek") model = AutoModelForSpeechSeq2Seq.from_pretrained("Sandiago21/whisper-large-v2-greek", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
a59f63a
1
Parent(s): c720f1d
End of training
Browse files
generation_config.json
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"language": "greek",
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"max_initial_timestamp_index": 1,
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"max_length": 448,
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"no_timestamps_token_id": 50363,
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pytorch_model.bin
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runs/Jul14_08-32-25_c29dfb936ef1/events.out.tfevents.1689323873.c29dfb936ef1.551698.0
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