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
Download ner/moves from KonstIT/Crypto_NER: direct link, hf CLI and curl.
- Browser
- Download file 227 Bytes
-
https://huggingface.co/KonstIT/Crypto_NER/resolve/main/ner/moves
- Command line
-
hf download hf://KonstIT/Crypto_NER/ner/moves
-
curl -L -o moves https://huggingface.co/KonstIT/Crypto_NER/resolve/main/ner/moves
227 Bytes
| ��moves��{"0":{},"1":{"ORG":144,"Cryptocurrency":95,"PER":81},"2":{"ORG":144,"Cryptocurrency":95,"PER":81},"3":{"ORG":144,"Cryptocurrency":95,"PER":81},"4":{"ORG":144,"Cryptocurrency":95,"PER":81,"":1},"5":{"":1}}�cfg��neg_key� |