Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Korean
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use freshpearYoon/v3_concat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use freshpearYoon/v3_concat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="freshpearYoon/v3_concat")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("freshpearYoon/v3_concat") model = AutoModelForSpeechSeq2Seq.from_pretrained("freshpearYoon/v3_concat") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad81d276bee07c6151fb8598161ff834c784de7a3881fc3fd8f9ab207d0dbf9e
- Size of remote file:
- 4.54 kB
- SHA256:
- e6585c2bdcde170d68b50769bf9071662ab5bdcd852d96eb3eab5499f25094ac
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