Instructions to use umanlp/babelbert-ft-mbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use umanlp/babelbert-ft-mbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="umanlp/babelbert-ft-mbert")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("umanlp/babelbert-ft-mbert") model = AutoModel.from_pretrained("umanlp/babelbert-ft-mbert") - Notebooks
- Google Colab
- Kaggle
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README.md
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---
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datasets:
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- umanlp/babelbert-dataset
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---
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This model is one of the artifacts of the paper [Massively Multilingual Lexical Specialization of Multilingual Transformers](https://aclanthology.org/2023.acl-long.426/).
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It was obtained by fine-tuning the representations of [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased) on the dataset [babelbert-dataset](https://huggingface.co/datasets/umanlp/babelbert-dataset).
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