Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Korean
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use younghoonKIM/exp2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use younghoonKIM/exp2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="younghoonKIM/exp2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("younghoonKIM/exp2") model = AutoModelForSpeechSeq2Seq.from_pretrained("younghoonKIM/exp2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from younghoonKIM/exp2: direct link, hf CLI and curl.
- Browser
- Download file 4.79 kB
-
https://huggingface.co/younghoonKIM/exp2/resolve/main/training_args.bin
- Command line
-
hf download hf://younghoonKIM/exp2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/younghoonKIM/exp2/resolve/main/training_args.bin
4.79 kB
- Xet hash:
- 56a9b27264ba6482237767b2496b553c396e4d6ae3d2ddc8b7330f0944478b4f
- Size of remote file:
- 4.79 kB
- SHA256:
- 1bbc98016b202145e144da1fd3ce9b80fd711bf103921d99e2b681f8b00e9c77
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