| Feature | Description |
|---|---|
| Name | Crypto NER |
| Version | 1.0.0 |
| spaCy | >=3.4.4,<3.5.0 |
| Default Pipeline | transformer, ner |
| Components | transformer, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
View label scheme (3 labels for 1 components)
| Component | Labels |
|---|---|
ner |
Cryptocurrency, ORG, PER |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
82.45 |
ENTS_P |
84.17 |
ENTS_R |
80.80 |
TRANSFORMER_LOSS |
727.79 |
NER_LOSS |
1327.85 |
- Downloads last month
- 9
Evaluation results
- NER Precisionself-reported0.842
- NER Recallself-reported0.808
- NER F Scoreself-reported0.824
!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()