Token Classification
spaCy
English
named-entity-recognition
ner
nlp
nigeria
road-traffic-crash
road-safety
information-extraction
data-anonymization
privacy
Instructions to use pidakwo/rtc-ner-extended with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use pidakwo/rtc-ner-extended with spaCy:
!pip install https://huggingface.co/pidakwo/rtc-ner-extended/resolve/main/rtc-ner-extended-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("rtc-ner-extended") # Importing as module. import rtc-ner-extended nlp = rtc-ner-extended.load() - Notebooks
- Google Colab
- Kaggle
Download meta.json from pidakwo/rtc-ner-extended: direct link, hf CLI and curl.
- Browser
- Download file 1.87 kB
-
https://huggingface.co/pidakwo/rtc-ner-extended/resolve/main/meta.json
- Command line
-
hf download hf://pidakwo/rtc-ner-extended/meta.json
-
curl -L -o meta.json https://huggingface.co/pidakwo/rtc-ner-extended/resolve/main/meta.json
1.87 kB
| { | |
| "lang":"en", | |
| "name":"pipeline", | |
| "version":"0.0.0", | |
| "spacy_version":">=3.8.14,<3.9.0", | |
| "description":"", | |
| "author":"", | |
| "email":"", | |
| "url":"", | |
| "license":"", | |
| "spacy_git_version":"0069cf9", | |
| "vectors":{ | |
| "width":0, | |
| "vectors":0, | |
| "keys":0, | |
| "name":null, | |
| "mode":"default" | |
| }, | |
| "labels":{ | |
| "tok2vec":[ | |
| ], | |
| "ner":[ | |
| "ADDRESS", | |
| "FACTORS", | |
| "NO_VEHICLES", | |
| "PERSON", | |
| "PERSONS_INVOLVED", | |
| "PLATE_NO", | |
| "TIME", | |
| "VEHICLE_TYPE", | |
| "VICTIM_ORGANIZATION", | |
| "WEEKDAY" | |
| ] | |
| }, | |
| "pipeline":[ | |
| "tok2vec", | |
| "ner" | |
| ], | |
| "components":[ | |
| "tok2vec", | |
| "ner" | |
| ], | |
| "disabled":[ | |
| ], | |
| "performance":{ | |
| "ents_f":0.9453644249, | |
| "ents_p":0.902171576, | |
| "ents_r":0.9929010885, | |
| "ents_per_type":{ | |
| "FACTORS":{ | |
| "p":0.9093701997, | |
| "r":0.9883138564, | |
| "f":0.9472 | |
| }, | |
| "WEEKDAY":{ | |
| "p":0.8989547038, | |
| "r":0.9961389961, | |
| "f":0.9450549451 | |
| }, | |
| "TIME":{ | |
| "p":0.8778280543, | |
| "r":1.0, | |
| "f":0.934939759 | |
| }, | |
| "PERSON":{ | |
| "p":0.9126466754, | |
| "r":0.9929078014, | |
| "f":0.9510869565 | |
| }, | |
| "NO_VEHICLES":{ | |
| "p":0.8321167883, | |
| "r":1.0, | |
| "f":0.9083665339 | |
| }, | |
| "PERSONS_INVOLVED":{ | |
| "p":0.8870967742, | |
| "r":1.0, | |
| "f":0.9401709402 | |
| }, | |
| "VEHICLE_TYPE":{ | |
| "p":0.9088319088, | |
| "r":0.996875, | |
| "f":0.9508196721 | |
| }, | |
| "PLATE_NO":{ | |
| "p":0.878125, | |
| "r":1.0, | |
| "f":0.9351081531 | |
| }, | |
| "VICTIM_ORGANIZATION":{ | |
| "p":0.8769230769, | |
| "r":0.9827586207, | |
| "f":0.9268292683 | |
| }, | |
| "ADDRESS":{ | |
| "p":1.0, | |
| "r":1.0, | |
| "f":1.0 | |
| } | |
| }, | |
| "tok2vec_loss":38450.0476341248, | |
| "ner_loss":50837.49609375 | |
| } | |
| } |