Instructions to use binbin83/fr_present_tense with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use binbin83/fr_present_tense with spaCy:
!pip install https://huggingface.co/binbin83/fr_present_tense/resolve/main/fr_present_tense-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("fr_present_tense") # Importing as module. import fr_present_tense nlp = fr_present_tense.load() - Notebooks
- Google Colab
- Kaggle
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Download README.md from binbin83/fr_present_tense: direct link, hf CLI and curl.
- Browser
- Download file 393 Bytes
-
https://huggingface.co/binbin83/fr_present_tense/resolve/main/README.md
- Command line
-
hf download hf://binbin83/fr_present_tense/README.md
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curl -L -o README.md https://huggingface.co/binbin83/fr_present_tense/resolve/main/README.md
393 Bytes
metadata
tags:
- spacy
- token-classification
language:
- fr
model-index:
- name: fr_present_tense
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.7707404103
- name: NER Recall
type: recall
value: 0.7985212569
- name: NER F Score
type: f_score
value: 0.7843849296