Instructions to use rdfez/tl_custom_calamancy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use rdfez/tl_custom_calamancy with spaCy:
!pip install https://huggingface.co/rdfez/tl_custom_calamancy/resolve/main/tl_custom_calamancy-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("tl_custom_calamancy") # Importing as module. import tl_custom_calamancy nlp = tl_custom_calamancy.load() - Notebooks
- Google Colab
- Kaggle
| { | |
| "lang":"tl", | |
| "name":"custom_calamancy", | |
| "version":"0.0.0", | |
| "description":"", | |
| "author":"", | |
| "email":"", | |
| "url":"", | |
| "license":"", | |
| "spacy_version":">=3.8.14,<3.9.0", | |
| "spacy_git_version":"0069cf9", | |
| "vectors":{ | |
| "width":300, | |
| "vectors":714435, | |
| "keys":714435, | |
| "name":"tl_pipeline.vectors" | |
| }, | |
| "labels":{ | |
| "tok2vec":[ | |
| ], | |
| "ner":[ | |
| "LOC", | |
| "MISC", | |
| "ORG", | |
| "PER" | |
| ] | |
| }, | |
| "pipeline":[ | |
| "tok2vec", | |
| "ner" | |
| ], | |
| "components":[ | |
| "tok2vec", | |
| "ner" | |
| ], | |
| "disabled":[ | |
| ], | |
| "performance":{ | |
| "ents_f":0.9626022594, | |
| "ents_p":0.961852861, | |
| "ents_r":0.9633528265, | |
| "ents_per_type":{ | |
| "ORG":{ | |
| "p":0.9656593407, | |
| "r":0.9538670285, | |
| "f":0.9597269625 | |
| }, | |
| "PER":{ | |
| "p":0.9803571429, | |
| "r":0.9829901522, | |
| "f":0.981671882 | |
| }, | |
| "MISC":{ | |
| "p":0.9132947977, | |
| "r":0.9321533923, | |
| "f":0.9226277372 | |
| }, | |
| "LOC":{ | |
| "p":0.944, | |
| "r":0.9516129032, | |
| "f":0.9477911647 | |
| } | |
| }, | |
| "tok2vec_loss":0.0, | |
| "ner_loss":234.5750634747 | |
| }, | |
| "requirements":[ | |
| "spacy>=3.8.14,<3.9.0" | |
| ] | |
| } |