Instructions to use mykor/fnet-base-ko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mykor/fnet-base-ko with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mykor/fnet-base-ko")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mykor/fnet-base-ko") model = AutoModelForMaskedLM.from_pretrained("mykor/fnet-base-ko") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by Bingsu - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f230772163d02a5fab88d60aab1c04eca4368bf9a7b2c50472864d7f3ec2989b
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size 390140660
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