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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ixa-ehu/ixambert-base-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add multilingual to the language tag (#1)
- Add multilingual to the language tag (3218dd3300b977d2b49865b5fac493a6ae95fde4) Co-authored-by: Loïck BOURDOIS <lbourdois@users.noreply.huggingface.co>67aa4d8
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Added license file
Jon Ander493636d
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Migrate model card from transformers-repo
Read announcement at https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755 Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/ixa-ehu/ixambert-base-cased/README.md6cc6f7c
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Update tokenizer_config.json
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Update config.json
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Update pytorch_model.bin
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Update vocab.txt
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initial commit
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