Instructions to use MohammadOthman/en_roberta_base_plant_ner_case with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use MohammadOthman/en_roberta_base_plant_ner_case with spaCy:
!pip install https://huggingface.co/MohammadOthman/en_roberta_base_plant_ner_case/resolve/main/en_roberta_base_plant_ner_case-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_roberta_base_plant_ner_case") # Importing as module. import en_roberta_base_plant_ner_case nlp = en_roberta_base_plant_ner_case.load() - Notebooks
- Google Colab
- Kaggle
| { | |
| "lang":"en", | |
| "name":"roberta_base_plant_ner_case", | |
| "version":"1.0.0", | |
| "description":"", | |
| "author":"Mohammad Othman", | |
| "email":"", | |
| "url":"", | |
| "license":"Apache-2.0", | |
| "spacy_version":">=3.5.2,<3.6.0", | |
| "spacy_git_version":"Unknown", | |
| "vectors":{ | |
| "width":0, | |
| "vectors":0, | |
| "keys":0, | |
| "name":null | |
| }, | |
| "labels":{ | |
| "transformer":[ | |
| ], | |
| "ner":[ | |
| "PLANT" | |
| ] | |
| }, | |
| "pipeline":[ | |
| "transformer", | |
| "ner" | |
| ], | |
| "components":[ | |
| "transformer", | |
| "ner" | |
| ], | |
| "disabled":[ | |
| ], | |
| "performance":{ | |
| "ents_f":0.9725118483, | |
| "ents_p":0.9697542533, | |
| "ents_r":0.9752851711, | |
| "ents_per_type":{ | |
| "PLANT":{ | |
| "p":0.9697542533, | |
| "r":0.9752851711, | |
| "f":0.9725118483 | |
| } | |
| } | |
| }, | |
| "requirements":[ | |
| "spacy-transformers>=1.2.3,<1.3.0" | |
| ] | |
| } |