
[![](https://raw.githubusercontent.com/uhh-lt/amharicmodels/master/logo.png?token=AAIB2MYMI6TSIK7CHWYGHKTBQ3FQS)](https://github.com/uhh-lt/amharicmodels)

# Introduction
This is the Amharic RoBERTa transformer-based LM. It is part of the effort to build benchmark datasets and models for Amharic NLP.

# Examples
If you want to test the model in the `Hosted inference API`, copy the following texts to the box (right side)

Example 1:

`አበበ <mask> በላ ። `

Example 2:

`የአገሪቱ አጠቃላይ የስንዴ አቅርቦት ሶስት አራተኛው የሚመረተው በአገር <mask> ነው።`

The example shows possible words for the `fill in the blank -- mask` task

# Resources and publication 
More resource regarding Amharic NLP is available [here](https://github.com/uhh-lt/amharicmodels)
If you use the model in your work, please cite the following [paper](https://www.mdpi.com/1999-5903/13/11/275)

```
@Article{fi13110275,
AUTHOR = {Yimam, Seid Muhie and Ayele, Abinew Ali and Venkatesh, Gopalakrishnan and Gashaw, Ibrahim and Biemann, Chris},
TITLE = {Introducing Various Semantic Models for Amharic: Experimentation and Evaluation with Multiple Tasks and Datasets},
JOURNAL = {Future Internet},
VOLUME = {13},
YEAR = {2021},
NUMBER = {11},
ARTICLE-NUMBER = {275},
URL = {https://www.mdpi.com/1999-5903/13/11/275},
ISSN = {1999-5903},
DOI = {10.3390/fi13110275}
}

```
  

{"language": ["am"], "license": "mit", "tags": ["Amharic", "Semetic language"], "datasets": ["Amharic_corpus_from_LT_group_UHH"], "thumbnail": "https://raw.githubusercontent.com/uhh-lt/amharicmodels/master/logo.png?token=AAIB2MYMI6TSIK7CHWYGHKTBQ3FQS", "widget": [{"text": "\u12a0\u1260\u1260 <mask> \u1260\u120b \u1362"}, {"text": "\u12e8\u12a0\u1308\u122a\u1271 \u12a0\u1320\u1243\u120b\u12ed \u12e8\u1235\u1295\u12f4 \u12a0\u1245\u122d\u1266\u1275 \u1236\u1235\u1275 \u12a0\u122b\u1270\u129b\u12cd \u12e8\u121a\u1218\u1228\u1270\u12cd \u1260\u12a0\u1308\u122d <mask> \u1290\u12cd\u1362"}, {"text": "\u1290\u1308 \u1325\u1229 <mask> \u12e8\u121d\u1295\u1230\u121b \u12ed\u1218\u1235\u1208\u129b\u120d \u1362"}, {"text": "\u130d\u1295\u1263\u1273\u12cd\u1295 \u12e8\u121a\u12eb\u12a8\u1293\u12cd\u1290\u12cd \u1270\u124b\u122b\u132d \u1260\u1245\u122d\u1261 \u12a5\u1295\u12f0\u121a\u1308\u1208\u133d <mask> \u12a0\u1276 \u1218\u120b\u12a9\u1363 \u1215\u1295\u1343\u12cd 1.2 \u1262\u120a\u12ee\u1295 \u1265\u122d \u12e8\u121a\u12f0\u122d\u1235 \u12c8\u132a \u12a5\u1295\u12f0\u121a\u1320\u12ed\u1245 \u12a0\u1235\u1273\u12cd\u1240\u12cb\u120d \u1362"}]}
transformers pytorch safetensors roberta fill-mask Amharic Semetic language am dataset:Amharic_corpus_from_LT_group_UHH license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #safetensors #roberta #fill-mask #Amharic #Semetic language #am #dataset-Amharic_corpus_from_LT_group_UHH #license-mit #autotrain_compatible #endpoints_compatible #region-us 


![](URL

# Introduction
This is the Amharic RoBERTa transformer-based LM. It is part of the effort to build benchmark datasets and models for Amharic NLP.

# Examples
If you want to test the model in the 'Hosted inference API', copy the following texts to the box (right side)

Example 1:

'አበበ <mask> በላ ። '

Example 2:

'የአገሪቱ አጠቃላይ የስንዴ አቅርቦት ሶስት አራተኛው የሚመረተው በአገር <mask> ነው።'

The example shows possible words for the 'fill in the blank -- mask' task

# Resources and publication 
More resource regarding Amharic NLP is available here
If you use the model in your work, please cite the following paper


  

# Introduction
This is the Amharic RoBERTa transformer-based LM. It is part of the effort to build benchmark datasets and models for Amharic NLP. # Examples
If you want to test the model in the 'Hosted inference API', copy the following texts to the box (right side)

Example 1:

'አበበ <mask> በላ ። '

Example 2:

'የአገሪቱ አጠቃላይ የስንዴ አቅርቦት ሶስት አራተኛው የሚመረተው በአገር <mask> ነው።'

The example shows possible words for the 'fill in the blank -- mask' task # Resources and publication 
More resource regarding Amharic NLP is available here
If you use the model in your work, please cite the following paper
TAGS
#transformers #pytorch #safetensors #roberta #fill-mask #Amharic #Semetic language #am #dataset-Amharic_corpus_from_LT_group_UHH #license-mit #autotrain_compatible #endpoints_compatible #region-us 
 # Introduction
This is the Amharic RoBERTa transformer-based LM. It is part of the effort to build benchmark datasets and models for Amharic NLP. # Examples
If you want to test the model in the 'Hosted inference API', copy the following texts to the box (right side)

Example 1:

'አበበ <mask> በላ ። '

Example 2:

'የአገሪቱ አጠቃላይ የስንዴ አቅርቦት ሶስት አራተኛው የሚመረተው በአገር <mask> ነው።'

The example shows possible words for the 'fill in the blank -- mask' task # Resources and publication 
More resource regarding Amharic NLP is available here
If you use the model in your work, please cite the following paper
passage: TAGS
#transformers #pytorch #safetensors #roberta #fill-mask #Amharic #Semetic language #am #dataset-Amharic_corpus_from_LT_group_UHH #license-mit #autotrain_compatible #endpoints_compatible #region-us 
# Introduction
This is the Amharic RoBERTa transformer-based LM. It is part of the effort to build benchmark datasets and models for Amharic NLP.# Examples
If you want to test the model in the 'Hosted inference API', copy the following texts to the box (right side)

Example 1:

'አበበ <mask> በላ ። '

Example 2:

'የአገሪቱ አጠቃላይ የስንዴ አቅርቦት ሶስት አራተኛው የሚመረተው በአገር <mask> ነው።'

The example shows possible words for the 'fill in the blank -- mask' task# Resources and publication 
More resource regarding Amharic NLP is available here
If you use the model in your work, please cite the following paper