Instructions to use mykor/roberta-base-ko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mykor/roberta-base-ko with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mykor/roberta-base-ko")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mykor/roberta-base-ko") model = AutoModelForMaskedLM.from_pretrained("mykor/roberta-base-ko", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from mykor/roberta-base-ko: direct link, hf CLI and curl.
- Browser
- Download file 502 MB
-
https://huggingface.co/mykor/roberta-base-ko/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://mykor/roberta-base-ko/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/mykor/roberta-base-ko/resolve/main/pytorch_model.bin
502 MB
- Xet hash:
- beca6a59ddd8789ea516c0514f740baa4afb53317f0f63b4ea602e2956467ea1
- Size of remote file:
- 502 MB
- SHA256:
- 60774d1d3a7ce692d48c73b4a3585b82dd081a9b6bf12392c78b916a14930fd9
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