Instructions to use seiya/oubiobert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seiya/oubiobert-base-uncased with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("seiya/oubiobert-base-uncased") model = AutoModelForPreTraining.from_pretrained("seiya/oubiobert-base-uncased") - Notebooks
- Google Colab
- Kaggle
Update pytorch_model.bin
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:f1ed81f9ee22a9d1f437b743b63234852b1edf17808d94724e2f7a49f0e95f16
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size 445020854
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