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bert-base-uncased-phrasal-verbs
annaiankovskaia/bert-base-uncased-phrasal-verbs
bert-base-uncased-phrasal-verbs is a machine learning model from annaiankovskaia. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
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Public
Updated Aug 3, 2026
Repo size
436 MB
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At a glance
- License
- mit
- Access
- Public
- Created
- Aug 3, 2026
- Updated
- Aug 3, 2026
- SHA
- a2225f20
Base models
Model card
From the Hugging Face model README
PROJECT DESCRIPTION
This model is a part of a master thesis (Year: 2021) and was fine-tuned to classify tokens in a sequence as either components of phrasal verbs or not.
LICENSE
This project and fine-tuned model are released under the MIT License.
CREDITS & ATTRIBUTION
Base Architecture: Built on Google's 'bert-base-uncased' (Licensed under Apache 2.0). Training Corpus: Fine-tuned on the News Commentary Parallel Corpus (CC0 Public Domain). Code Reference: With slight modification, model fine-tuning was done as shown in this tutorial by Sterbak (2018) [https://www.depends-on-the-definition.com/named-entity-recognition-with-bert/] (Licensed under MIT).
- License
- mit
- Languages
- en
- Created
- Aug 3, 2026
- Updated
- Aug 3, 2026