# 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-uncased-all-english")
  
  model = AutoModelForTokenClassification.from_pretrained("asahi417/tner-xlm-roberta-base-uncased-all-english")
 ```
{}
transformers pytorch xlm-roberta token-classification autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #xlm-roberta #token-classification #autotrain_compatible #endpoints_compatible #region-us 

# XLM-RoBERTa for NER
XLM-RoBERTa finetuned on NER. Check more detail at TNER repository.

## Usage

# XLM-RoBERTa for NER
XLM-RoBERTa finetuned on NER. Check more detail at TNER repository. ## Usage
TAGS
#transformers #pytorch #xlm-roberta #token-classification #autotrain_compatible #endpoints_compatible #region-us 
 # XLM-RoBERTa for NER
XLM-RoBERTa finetuned on NER. Check more detail at TNER repository. ## Usage
passage: TAGS
#transformers #pytorch #xlm-roberta #token-classification #autotrain_compatible #endpoints_compatible #region-us 
# XLM-RoBERTa for NER
XLM-RoBERTa finetuned on NER. Check more detail at TNER repository.## Usage