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 pytorch_model.bin from jiwon65/checkpoint-5000: direct link, hf CLI and curl.
- Browser
- Download file 967 MB
-
https://huggingface.co/jiwon65/checkpoint-5000/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://jiwon65/checkpoint-5000/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/jiwon65/checkpoint-5000/resolve/main/pytorch_model.bin
967 MB
- Xet hash:
- 91595fc6aa229b120c5b71840000b55da6ea1c116f92c6e76d1ab0d41df6efaa
- Size of remote file:
- 967 MB
- SHA256:
- 0991d322308c11c29a373fb6e9c5e85ffb711888f4f71ab55a807d8397c05d2b
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