Instructions to use beom115/ko-medium-aug_without_loss with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beom115/ko-medium-aug_without_loss with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="beom115/ko-medium-aug_without_loss")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("beom115/ko-medium-aug_without_loss") model = AutoModelForSpeechSeq2Seq.from_pretrained("beom115/ko-medium-aug_without_loss", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from beom115/ko-medium-aug_without_loss: direct link, hf CLI and curl.
- Browser
- Download file 3.06 GB
-
https://huggingface.co/beom115/ko-medium-aug_without_loss/resolve/main/model.safetensors
- Command line
-
hf download hf://beom115/ko-medium-aug_without_loss/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/beom115/ko-medium-aug_without_loss/resolve/main/model.safetensors
3.06 GB
- Xet hash:
- 4c23e470ed03bc20cb98561cc071d4f02b2fa4704a07e3ad1088e17fb10ec155
- Size of remote file:
- 3.06 GB
- SHA256:
- 36a0a7c1d2219e62ea311490016fc84c49d5c78b1c7c1be8d8a7269351491b4d
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