Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Korean
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use DragonLine/train04 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DragonLine/train04 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="DragonLine/train04")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("DragonLine/train04") model = AutoModelForSpeechSeq2Seq.from_pretrained("DragonLine/train04", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from DragonLine/train04: direct link, hf CLI and curl.
- Browser
- Download file 4.35 kB
-
https://huggingface.co/DragonLine/train04/resolve/main/training_args.bin
- Command line
-
hf download hf://DragonLine/train04/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/DragonLine/train04/resolve/main/training_args.bin
4.35 kB
- Xet hash:
- a11c1ddeca759e67b7cd500a3f24fd55d3504309d6240eac8da0989fcea7f050
- Size of remote file:
- 4.35 kB
- SHA256:
- f84f60502b90695ead9af9f3595eaf6984f1c0b4230dffdcbbca99b0e7f279af
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