Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Korean
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use gingercake01/repo003 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gingercake01/repo003 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="gingercake01/repo003")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("gingercake01/repo003") model = AutoModelForSpeechSeq2Seq.from_pretrained("gingercake01/repo003", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from gingercake01/repo003: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/gingercake01/repo003/resolve/main/training_args.bin
- Command line
-
hf download hf://gingercake01/repo003/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/gingercake01/repo003/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- 8e5e74ad87e6a752fb0805866f50ab05acb4351fcd45536dadade4779ba8395e
- Size of remote file:
- 5.05 kB
- SHA256:
- fc02b7da26c6649e596292d156ec89f86c5dd47fe8883b215f081058e489c8c8
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