Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Korean
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use DianaJin/sample with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DianaJin/sample with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="DianaJin/sample")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("DianaJin/sample") model = AutoModelForSpeechSeq2Seq.from_pretrained("DianaJin/sample", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from DianaJin/sample: direct link, hf CLI and curl.
- Browser
- Download file 4.79 kB
-
https://huggingface.co/DianaJin/sample/resolve/main/training_args.bin
- Command line
-
hf download hf://DianaJin/sample/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/DianaJin/sample/resolve/main/training_args.bin
4.79 kB
- Xet hash:
- 9d5b667873f7a317ae82b8e50b73e31dd87df5623b71549ae7b2f8a181e863c1
- Size of remote file:
- 4.79 kB
- SHA256:
- 20ae1749639b48c056be5ff255a17fa48b2b5b0ff3cb293c18c9350905e05f8e
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