Instructions to use monologg/kobert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use monologg/kobert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="monologg/kobert")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("monologg/kobert") model = AutoModel.from_pretrained("monologg/kobert") - Notebooks
- Google Colab
- Kaggle
Commit ·
8ebf281
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Parent(s): 4ec3294
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:714e4f707702f2d5df7d4846fa4a19a8e05c156d097536606fd02286fe79bed8
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size 368754669
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