Instructions to use JuneKo/kcELECTRA_MLM_batch4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JuneKo/kcELECTRA_MLM_batch4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="JuneKo/kcELECTRA_MLM_batch4")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("JuneKo/kcELECTRA_MLM_batch4") model = AutoModelForMaskedLM.from_pretrained("JuneKo/kcELECTRA_MLM_batch4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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 sha256:545df263bb86a6ed8c54da7dc8f1eeb5f0cce5f43eb35665d92dc71c057edb43
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size 511359140
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