
# roberta-small-hi-char-mlm

## Model Description

This is a RoBERTa model pre-trained on HI texts with character tokenizer.
This uses `is_decoder=False` option.

## How to Use

```py
from transformers import AutoTokenizer,AutoModelForMaskedLM
tokenizer=AutoTokenizer.from_pretrained("nakamura196/roberta-small-hi-char-mlm")
model=AutoModelForMaskedLM.from_pretrained("nakamura196/roberta-small-hi-char-mlm")
```

{"language": ["ja"], "license": "cc-by-sa-4.0", "tags": ["japanese", "masked-lm"], "pipeline_tag": "fill-mask", "mask_token": "[MASK]", "widget": [{"text": "\u5165[MASK]\u5916\u7121\u4e4b\u5019\u6c5f\u6238\u5927\u6c34\u53c8\u30cf\u5927\u5730\u9707\u306a\u3068"}, {"text": "\u65e5[MASK]\u5b88\u5fa1\u671b\u4e4b\u7531\u53ef\u4ee4\u62ab\u9732\u5019"}]}
transformers pytorch roberta fill-mask japanese masked-lm ja license:cc-by-sa-4.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #roberta #fill-mask #japanese #masked-lm #ja #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 


# roberta-small-hi-char-mlm

## Model Description

This is a RoBERTa model pre-trained on HI texts with character tokenizer.
This uses 'is_decoder=False' option.

## How to Use



# roberta-small-hi-char-mlm ## Model Description

This is a RoBERTa model pre-trained on HI texts with character tokenizer.
This uses 'is_decoder=False' option. ## How to Use
TAGS
#transformers #pytorch #roberta #fill-mask #japanese #masked-lm #ja #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 
 # roberta-small-hi-char-mlm ## Model Description

This is a RoBERTa model pre-trained on HI texts with character tokenizer.
This uses 'is_decoder=False' option. ## How to Use
passage: TAGS
#transformers #pytorch #roberta #fill-mask #japanese #masked-lm #ja #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 
# roberta-small-hi-char-mlm## Model Description

This is a RoBERTa model pre-trained on HI texts with character tokenizer.
This uses 'is_decoder=False' option.## How to Use