KennethEnevoldsen/spacy-wrap
spaCy-wrap is a wrapper library for spaCy for including fine-tuned transformers from Huggingface in your spaCy pipeline allowing you to include existing fine-tuned models within your SpaCy workflow.
This tool helps developers working with natural language processing (NLP) by allowing them to easily integrate specialized, pre-trained text analysis models from Hugging Face into their spaCy projects. It takes a text string or a collection of strings and, using a specified model, outputs classifications like sentiment, named entities, or parts of speech, enhancing custom NLP pipelines. This is for developers building sophisticated text analysis applications.
Used by 1 other package. No commits in the last 6 months. Available on PyPI.
Use this if you are a developer who needs to incorporate fine-tuned transformer models for tasks like sentiment analysis or named entity recognition directly into your spaCy text processing workflows.
Not ideal if you primarily need to wrap entire Hugging Face pipelines, as the official spacy-huggingface-pipelines library might be a better fit for those use cases.
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46
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Language
Python
License
MIT
Category
Last pushed
Apr 15, 2024
Commits (30d)
0
Dependencies
3
Reverse dependents
1
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