Automatic Speech Recognition
Transformers
PyTorch
Korean
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use jiwon65/checkpoint-5000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jiwon65/checkpoint-5000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="jiwon65/checkpoint-5000")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("jiwon65/checkpoint-5000") model = AutoModelForSpeechSeq2Seq.from_pretrained("jiwon65/checkpoint-5000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jiwon65/checkpoint-5000: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/jiwon65/checkpoint-5000/resolve/main/training_args.bin
- Command line
-
hf download hf://jiwon65/checkpoint-5000/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jiwon65/checkpoint-5000/resolve/main/training_args.bin
4.66 kB
- Xet hash:
- 490c2752df2ae36dcbd9dbab223f67cddf50a0c462edfd4db28bd2e209dcc692
- Size of remote file:
- 4.66 kB
- SHA256:
- cdb7ebb6f0efcd427005f08631baaa1874570446b8359bcde4190ea5432b0edd
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