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roberta_ner_eu
eduardem/roberta_ner_eu
roberta_ner_eu is a machine learning model from eduardem. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as openrail.
This model is a fine-tuned version of the RoBERTa base model, specialized for Named Entity Recognition (NER) tasks in English, Spanish, French, and Romanian.
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Model card
From the Hugging Face model README
Fine-Tuned RoBERTa for Multilingual NER
Introduction
This model is a fine-tuned version of the RoBERTa base model, specialized for Named Entity Recognition (NER) tasks in English, Spanish, French, and Romanian.
Capabilities
The model is currently capable of recognizing:
- Common names in English, Spanish, French, and Romanian
- Most commonly used acronyms in these languages
Training Data
The model was fine-tuned using the ner_acro_combined dataset.
Usage
This fine-tuned model is designed for:
- Performing NER tasks in multilingual contexts
- Identifying commonly used names and acronyms in the specified languages
Contributing
If you have suggestions for improvements or bug reports related to this model, please feel free to open an issue or submit a pull request.
- Library
- transformers
- License
- openrail
- Languages
- en, es, ro, fr
- Created
- Sep 4, 2023
- Updated
- Oct 29, 2023