Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Korean
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use xppast/voice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xppast/voice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="xppast/voice")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("xppast/voice") model = AutoModelForSpeechSeq2Seq.from_pretrained("xppast/voice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 100
Browse files
config.json
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"_name_or_path": "xppast/voice",
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"apply_spec_augment": false,
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model.safetensors
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runs/Nov24_11-48-34_60317a16bf1e/events.out.tfevents.1700826520.60317a16bf1e.484.1
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training_args.bin
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