Instructions to use rdfez/tl_custom_spacy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use rdfez/tl_custom_spacy with spaCy:
!pip install https://huggingface.co/rdfez/tl_custom_spacy/resolve/main/tl_custom_spacy-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("tl_custom_spacy") # Importing as module. import tl_custom_spacy nlp = tl_custom_spacy.load() - Notebooks
- Google Colab
- Kaggle
| { | |
| "lang":"tl", | |
| "name":"custom_spacy", | |
| "version":"0.0.0", | |
| "description":"", | |
| "author":"", | |
| "email":"", | |
| "url":"", | |
| "license":"", | |
| "spacy_version":">=3.8.14,<3.9.0", | |
| "spacy_git_version":"0069cf9", | |
| "vectors":{ | |
| "width":0, | |
| "vectors":0, | |
| "keys":0, | |
| "name":null | |
| }, | |
| "labels":{ | |
| "tok2vec":[ | |
| ], | |
| "ner":[ | |
| "LOC", | |
| "MISC", | |
| "ORG", | |
| "PER" | |
| ] | |
| }, | |
| "pipeline":[ | |
| "tok2vec", | |
| "ner" | |
| ], | |
| "components":[ | |
| "tok2vec", | |
| "ner" | |
| ], | |
| "disabled":[ | |
| ], | |
| "performance":{ | |
| "ents_f":0.9504099961, | |
| "ents_p":0.951896754, | |
| "ents_r":0.9489278752, | |
| "ents_per_type":{ | |
| "ORG":{ | |
| "p":0.9555555556, | |
| "r":0.9335142469, | |
| "f":0.9444063143 | |
| }, | |
| "PER":{ | |
| "p":0.96886121, | |
| "r":0.9749328559, | |
| "f":0.9718875502 | |
| }, | |
| "MISC":{ | |
| "p":0.9011627907, | |
| "r":0.9144542773, | |
| "f":0.9077598829 | |
| }, | |
| "LOC":{ | |
| "p":0.9403794038, | |
| "r":0.9327956989, | |
| "f":0.9365721997 | |
| } | |
| }, | |
| "tok2vec_loss":461.2963491074, | |
| "ner_loss":161.8862357107 | |
| }, | |
| "requirements":[ | |
| "spacy>=3.8.14,<3.9.0" | |
| ] | |
| } |