xlm-roberta-large-finetuned-conll03-english

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558M
93 languages
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187K downloads
Production-ready
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Edge AI:
Mobile
Laptop
Server
2GB+ RAM
Mobile
Laptop
Server
Quick Summary

--- language: - multilingual - af - am - ar - as - az - be - bg - bn - br - bs - ca - cs - cy - da - de - el - en - eo - es - et - eu - fa - fi - fr - fy - ga -...

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
1GB+ RAM

Code Examples

pythontransformers
>>> from transformers import pipeline
>>> tokenizer = AutoTokenizer.from_pretrained("xlm-roberta-large-finetuned-conll03-english")
>>> model = AutoModelForTokenClassification.from_pretrained("xlm-roberta-large-finetuned-conll03-english")
>>> classifier = pipeline("ner", model=model, tokenizer=tokenizer)
>>> classifier("Alya told Jasmine that Andrew could pay with cash..")
[{'end': 2,
  'entity': 'I-PER',
  'index': 1,
  'score': 0.9997861,
  'start': 0,
  'word': '▁Al'},
 {'end': 4,
  'entity': 'I-PER',
  'index': 2,
  'score': 0.9998591,
  'start': 2,
  'word': 'ya'},
 {'end': 16,
  'entity': 'I-PER',
  'index': 4,
  'score': 0.99995816,
  'start': 10,
  'word': '▁Jasmin'},
 {'end': 17,
  'entity': 'I-PER',
  'index': 5,
  'score': 0.9999584,
  'start': 16,
  'word': 'e'},
 {'end': 29,
  'entity': 'I-PER',
  'index': 7,
  'score': 0.99998057,
  'start': 23,
  'word': '▁Andrew'}]
How to Get Started with the Modelpythontransformers
>>> from transformers import AutoTokenizer, AutoModelForTokenClassification
>>> from transformers import pipeline
>>> tokenizer = AutoTokenizer.from_pretrained("xlm-roberta-large-finetuned-conll03-english")
>>> model = AutoModelForTokenClassification.from_pretrained("xlm-roberta-large-finetuned-conll03-english")
>>> classifier = pipeline("ner", model=model, tokenizer=tokenizer)
>>> classifier("Hello I'm Omar and I live in Zürich.")

[{'end': 14,
  'entity': 'I-PER',
  'index': 5,
  'score': 0.9999175,
  'start': 10,
  'word': '▁Omar'},
 {'end': 35,
  'entity': 'I-LOC',
  'index': 10,
  'score': 0.9999906,
  'start': 29,
  'word': '▁Zürich'}]

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