Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Korean
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use freshpearYoon/large-v3_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use freshpearYoon/large-v3_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="freshpearYoon/large-v3_3")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("freshpearYoon/large-v3_3") model = AutoModelForSpeechSeq2Seq.from_pretrained("freshpearYoon/large-v3_3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from freshpearYoon/large-v3_3: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/freshpearYoon/large-v3_3/resolve/main/training_args.bin
- Command line
-
hf download hf://freshpearYoon/large-v3_3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/freshpearYoon/large-v3_3/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- 78597531383e0e69d05abca78ca95e5cbbdb6e03c410476bcfa50a19a783b5e7
- Size of remote file:
- 4.6 kB
- SHA256:
- 0b17372d8eed7365225cd66cdc912a72c7aa671bb70f4a672fc713a104969006
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