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karthid/ta_Tamil_NER
ta_Tamil_NER is a token classification model from karthid. Use it when you need labels on individual words, such as names. It is set up for spacy.
Downloads · 30 days
3
1% of all-time downloads
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Other960 MB · 52%
From the Hugging Face model README
You can use this model with spacy.
!pip install https://huggingface.co/karthid/ta_Tamil_NER/resolve/main/ta_Tamil_NER-any-py3-none-any.whl
import ta_Tamil_NER
from spacy import displacy
nlp = ta_Tamil_NER.load()
doc = nlp("கூகுள் நிறுவனம் தனது முக்கிய வசதியான ஸ்ட்ரீட் வியூ வசதியை 10 நகரங்களில் இந்தியாவில் அறிமுகப்படுத்தி உள்ளது.")
displacy.render(doc,jupyter=True, style = "ent")
| Feature | Description |
|---|---|
| Name | ta_Tamil_NER |
| Version | 0.0.0 |
| spaCy | >=3.2.4,<3.3.0 |
| Default Pipeline | transformer, ner |
| Components | transformer, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | Karthi Dhayalan |
| Component | Labels |
|---|---|
ner | B-PER, I-PER, B-ORG, I-ORG, B-LOC, I-LOC |
| Type | Score |
|---|---|
ENTS_F | 84.92 |
ENTS_P | 84.34 |
ENTS_R | 85.52 |
TRANSFORMER_LOSS | 1842600.06 |
NER_LOSS | 108788.05 |