Instructions to use creat89/NER_FEDA_Latin1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use creat89/NER_FEDA_Latin1 with Transformers:
# Load model directly from transformers import AutoTokenizer, BERT_model_multidata tokenizer = AutoTokenizer.from_pretrained("creat89/NER_FEDA_Latin1") model = BERT_model_multidata.from_pretrained("creat89/NER_FEDA_Latin1") - Notebooks
- Google Colab
- Kaggle
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README.md
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license: mit
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This is a multilingual NER system trained using a Frustratingly Easy Domain Adaptation architecture. It is based on LaBSE and supports different tagsets all using IOBES formats:
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1. Wikiann (LOC, PER, ORG)
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license: mit
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language:
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- multilingual
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- cs
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- pl
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- sl
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- fi
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This is a multilingual NER system trained using a Frustratingly Easy Domain Adaptation architecture. It is based on LaBSE and supports different tagsets all using IOBES formats:
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1. Wikiann (LOC, PER, ORG)
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