Instructions to use ixa-ehu/ixambert-base-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ixa-ehu/ixambert-base-cased with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ixa-ehu/ixambert-base-cased", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c6ed69fc37d2af1175ee7dd075bcbe56977f954ddb5d5ce421606146a226a697
- Size of remote file:
- 713 MB
- SHA256:
- 5b1b16cd2708ed8c01204f39f0e440cc4ccfa56cd6a720f6ae5721186acc030d
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