Instructions to use beom115/ko-medium-specaug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beom115/ko-medium-specaug with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="beom115/ko-medium-specaug")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("beom115/ko-medium-specaug") model = AutoModelForSpeechSeq2Seq.from_pretrained("beom115/ko-medium-specaug", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from beom115/ko-medium-specaug: direct link, hf CLI and curl.
- Browser
- Download file 3.06 GB
-
https://huggingface.co/beom115/ko-medium-specaug/resolve/main/model.safetensors
- Command line
-
hf download hf://beom115/ko-medium-specaug/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/beom115/ko-medium-specaug/resolve/main/model.safetensors
3.06 GB
- Xet hash:
- f2d90077eee1aed79960d36322a3fdc92cbaf43458cb294d9bbb42e3ab6d314c
- Size of remote file:
- 3.06 GB
- SHA256:
- 184a657d5200fc8620c671e7fd095fc32e732ce8f2416a67d3190913dad94c07
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