Instructions to use ixa-ehu/berteus-base-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ixa-ehu/berteus-base-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ixa-ehu/berteus-base-cased")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ixa-ehu/berteus-base-cased") model = AutoModel.from_pretrained("ixa-ehu/berteus-base-cased") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 5058ca5
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 sha256:8d62e536adc99f79283ffc914f44de21fbe6d66e31da46e917a3929cfea80a5d
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size 498076653
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