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xlm-roberta-base-panx-dataset-ja
tner/xlm-roberta-base-panx-dataset-ja
xlm-roberta-base-panx-dataset-ja is a token classification model from tner. Use it when you need labels on individual words, such as names. It is set up for transformers.
XLM-RoBERTa finetuned on NER. Check more detail at TNER repository.
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At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- xlm-roberta
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Feb 13, 2021
- SHA
- 928240f4
Try a prompt
Model card
From the Hugging Face model README
XLM-RoBERTa for NER
XLM-RoBERTa finetuned on NER. Check more detail at TNER repository.
Usage
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("asahi417/tner-xlm-roberta-base-panx-dataset-ja")
model = AutoModelForTokenClassification.from_pretrained("asahi417/tner-xlm-roberta-base-panx-dataset-ja")
- Task
- Token Classification
- Library
- transformers
- Type
- xlm-roberta
- Created
- Mar 2, 2022
- Updated
- Feb 13, 2021