Automatic Speech Recognition
Transformers
PyTorch
Korean
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use jiwon65/checkpoint-5000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jiwon65/checkpoint-5000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="jiwon65/checkpoint-5000")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("jiwon65/checkpoint-5000") model = AutoModelForSpeechSeq2Seq.from_pretrained("jiwon65/checkpoint-5000") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:b7cbb48eae69bb11fa0a5295179a3ae22a59b9b8375733fc796f561b24f12019
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size 966995136
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