Instructions to use kisti/korscideberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kisti/korscideberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="kisti/korscideberta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("kisti/korscideberta") model = AutoModelForMaskedLM.from_pretrained("kisti/korscideberta") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3
by SFconvertbot - 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:a5033ade2345db50365d90d0f5b1cee661ceba03ea0fc1a27ddb7a1875405889
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size 738231984
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