Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Korean
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use freshpearYoon/train4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use freshpearYoon/train4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="freshpearYoon/train4")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("freshpearYoon/train4") model = AutoModelForSpeechSeq2Seq.from_pretrained("freshpearYoon/train4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from freshpearYoon/train4: direct link, hf CLI and curl.
- Browser
- Download file 4.4 kB
-
https://huggingface.co/freshpearYoon/train4/resolve/main/training_args.bin
- Command line
-
hf download hf://freshpearYoon/train4/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/freshpearYoon/train4/resolve/main/training_args.bin
4.4 kB
- Xet hash:
- ec4ecce9bf4ac09a193174a6672c920747beb7f499829df971b2c79e5ad6a3c1
- Size of remote file:
- 4.4 kB
- SHA256:
- fa28faee0822a01b4be2245500bce9a4bc5b6e343cae702bcf3c2cf391d533ad
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