Instructions to use Bingsu/mobilebert_ko_mlm_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bingsu/mobilebert_ko_mlm_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Bingsu/mobilebert_ko_mlm_1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Bingsu/mobilebert_ko_mlm_1") model = AutoModelForMaskedLM.from_pretrained("Bingsu/mobilebert_ko_mlm_1") - Notebooks
- Google Colab
- Kaggle
Upload pytorch_model2.bin with huggingface_hub
Browse files- pytorch_model2.bin +3 -0
pytorch_model2.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:918a21059034a4619ade59520fc90e750055fac51e725a8a4fc56bea56ecb082
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size 146765819
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