Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Korean
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use freshpearYoon/largev2_temp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use freshpearYoon/largev2_temp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="freshpearYoon/largev2_temp")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("freshpearYoon/largev2_temp") model = AutoModelForSpeechSeq2Seq.from_pretrained("freshpearYoon/largev2_temp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from freshpearYoon/largev2_temp: direct link, hf CLI and curl.
- Browser
- Download file 4.48 kB
-
https://huggingface.co/freshpearYoon/largev2_temp/resolve/main/training_args.bin
- Command line
-
hf download hf://freshpearYoon/largev2_temp/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/freshpearYoon/largev2_temp/resolve/main/training_args.bin
4.48 kB
- Xet hash:
- 1af1a3b8a4a7f0a03aea264309f04098f65d099ea9375b129c9382e6039243cd
- Size of remote file:
- 4.48 kB
- SHA256:
- 6f374029da671d6f38e493b18f0f55068cce900e3c3823ea08add87344fb0dca
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