Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Korean
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use SubsWay/my_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SubsWay/my_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="SubsWay/my_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("SubsWay/my_test") model = AutoModelForSpeechSeq2Seq.from_pretrained("SubsWay/my_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from SubsWay/my_test: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/SubsWay/my_test/resolve/main/training_args.bin
- Command line
-
hf download hf://SubsWay/my_test/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SubsWay/my_test/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- 7f5b0e55e77ddb1b9de372a3bc8f9456bc64fe841a8f65cde6b7a90c3bb79b62
- Size of remote file:
- 4.6 kB
- SHA256:
- 3b16ccf2aeb11f87bf06082ffbe02377be1751e03e80c52928821129e20fabd1
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