Token Classification
spaCy
English
Named Entity Recognition Model
NER
Cryptocurrency
Crypto
Eval Results (legacy)
Instructions to use KonstIT/Crypto_NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use KonstIT/Crypto_NER with spaCy:
!pip install https://huggingface.co/KonstIT/Crypto_NER/resolve/main/Crypto_NER-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("Crypto_NER") # Importing as module. import Crypto_NER nlp = Crypto_NER.load() - Notebooks
- Google Colab
- Kaggle
| { | |
| "lang":"en", | |
| "name":"pipeline", | |
| "version":"0.0.0", | |
| "description":"", | |
| "author":"", | |
| "email":"", | |
| "url":"", | |
| "license":"", | |
| "spacy_version":">=3.4.4,<3.5.0", | |
| "spacy_git_version":"Unknown", | |
| "vectors":{ | |
| "width":0, | |
| "vectors":0, | |
| "keys":0, | |
| "name":null | |
| }, | |
| "labels":{ | |
| "transformer":[ | |
| ], | |
| "ner":[ | |
| "Cryptocurrency", | |
| "ORG", | |
| "PER" | |
| ] | |
| }, | |
| "pipeline":[ | |
| "transformer", | |
| "ner" | |
| ], | |
| "components":[ | |
| "transformer", | |
| "ner" | |
| ], | |
| "disabled":[ | |
| ], | |
| "performance":{ | |
| "ents_f":0.8244897959, | |
| "ents_p":0.8416666667, | |
| "ents_r":0.808, | |
| "ents_per_type":{ | |
| "ORG":{ | |
| "p":0.6666666667, | |
| "r":0.4375, | |
| "f":0.5283018868 | |
| }, | |
| "Cryptocurrency":{ | |
| "p":0.8863636364, | |
| "r":0.9512195122, | |
| "f":0.9176470588 | |
| }, | |
| "PER":{ | |
| "p":0.8181818182, | |
| "r":0.8181818182, | |
| "f":0.8181818182 | |
| } | |
| }, | |
| "transformer_loss":7.2778955509, | |
| "ner_loss":13.2785245254 | |
| }, | |
| "requirements":[ | |
| "spacy-transformers>=1.2.1,<1.3.0" | |
| ] | |
| } |