Instructions to use andreids/en_ner_sender with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use andreids/en_ner_sender with spaCy:
!pip install https://huggingface.co/andreids/en_ner_sender/resolve/main/en_ner_sender-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_ner_sender") # Importing as module. import en_ner_sender nlp = en_ner_sender.load() - Notebooks
- Google Colab
- Kaggle
Download meta.json from andreids/en_ner_sender: direct link, hf CLI and curl.
- Browser
- Download file 808 Bytes
-
https://huggingface.co/andreids/en_ner_sender/resolve/main/meta.json
- Command line
-
hf download hf://andreids/en_ner_sender/meta.json
-
curl -L -o meta.json https://huggingface.co/andreids/en_ner_sender/resolve/main/meta.json
808 Bytes
| { | |
| "lang":"en", | |
| "name":"ner_sender", | |
| "version":"0.0.0", | |
| "description":"", | |
| "author":"", | |
| "email":"", | |
| "url":"", | |
| "license":"", | |
| "spacy_version":">=3.4.3,<3.5.0", | |
| "spacy_git_version":"63673a792", | |
| "vectors":{ | |
| "width":300, | |
| "vectors":20000, | |
| "keys":514157, | |
| "name":"en_vectors" | |
| }, | |
| "labels":{ | |
| "tok2vec":[ | |
| ], | |
| "ner":[ | |
| "SENDER" | |
| ] | |
| }, | |
| "pipeline":[ | |
| "tok2vec", | |
| "ner" | |
| ], | |
| "components":[ | |
| "tok2vec", | |
| "ner" | |
| ], | |
| "disabled":[ | |
| ], | |
| "performance":{ | |
| "ents_f":0.000693969, | |
| "ents_p":0.0004453432, | |
| "ents_r":0.0015710586, | |
| "ents_per_type":{ | |
| "SENDER":{ | |
| "p":0.0004453432, | |
| "r":0.0015710586, | |
| "f":0.000693969 | |
| } | |
| }, | |
| "tok2vec_loss":0.0, | |
| "ner_loss":172.000005722 | |
| }, | |
| "requirements":[ | |
| ] | |
| } |