Instructions to use Priyanka-Balivada/en_Resume_Matching_Keywords with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Priyanka-Balivada/en_Resume_Matching_Keywords with spaCy:
!pip install https://huggingface.co/Priyanka-Balivada/en_Resume_Matching_Keywords/resolve/main/en_Resume_Matching_Keywords-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_Resume_Matching_Keywords") # Importing as module. import en_Resume_Matching_Keywords nlp = en_Resume_Matching_Keywords.load() - Notebooks
- Google Colab
- Kaggle
updated model card
Browse files
README.md
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- name: NER F Score
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type: f_score
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value: 0.7220216606
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---
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| Feature | Description |
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- name: NER F Score
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type: f_score
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value: 0.7220216606
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license: mit
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