pytorch xlm-roberta token-classification transformers
.gitattributes README.md config.json parameter.json pytorch_model.bin sentencepiece.bpe.model special_tokens_map.json test_panx_dataset-ar.json test_panx_dataset-en.json test_panx_dataset-es.json test_panx_dataset-ja.json test_panx_dataset-ko.json test_panx_dataset-ru.json tokenizer_config.json
# XLM-RoBERTa for NER
XLM-RoBERTa finetuned on NER. Check more detail at [TNER repository](https://github.com/asahi417/tner).

## Usage
```
  from transformers import AutoTokenizer, AutoModelForTokenClassification
  
  tokenizer = AutoTokenizer.from_pretrained("asahi417/tner-xlm-roberta-base-panx-dataset-ru")
  
  model = AutoModelForTokenClassification.from_pretrained("asahi417/tner-xlm-roberta-base-panx-dataset-ru")
 ```