
## HingMBERT
HingBERT is a Hindi-English code-mixed BERT model trained on roman text. It is a mBERT model fine-tuned on L3Cube-HingCorpus.
<br>
[dataset link] (https://github.com/l3cube-pune/code-mixed-nlp)

More details on the dataset, models, and baseline results can be found in our [paper] (https://arxiv.org/abs/2204.08398)<br>

Other models from HingBERT family: <br>
<a href="https://huggingface.co/l3cube-pune/hing-bert"> HingBERT </a> <br>
<a href="https://huggingface.co/l3cube-pune/hing-mbert"> HingMBERT </a> <br>
<a href="https://huggingface.co/l3cube-pune/hing-mbert-mixed"> HingBERT-Mixed </a> <br>
<a href="https://huggingface.co/l3cube-pune/hing-mbert-mixed-v2"> HingBERT-Mixed-v2 </a> <br>
<a href="https://huggingface.co/l3cube-pune/hing-roberta"> HingRoBERTa </a> <br>
<a href="https://huggingface.co/l3cube-pune/hing-roberta-mixed"> HingRoBERTa-Mixed </a> <br>
<a href="https://huggingface.co/l3cube-pune/hing-gpt"> HingGPT </a> <br>
<a href="https://huggingface.co/l3cube-pune/hing-gpt-devanagari"> HingGPT-Devanagari </a> <br>
<a href="https://huggingface.co/l3cube-pune/hing-bert-lid"> HingBERT-LID </a> <br>

```
@inproceedings{nayak-joshi-2022-l3cube,
    title = "{L}3{C}ube-{H}ing{C}orpus and {H}ing{BERT}: A Code Mixed {H}indi-{E}nglish Dataset and {BERT} Language Models",
    author = "Nayak, Ravindra  and Joshi, Raviraj",
    booktitle = "Proceedings of the WILDRE-6 Workshop within the 13th Language Resources and Evaluation Conference",
    month = jun,
    year = "2022",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://aclanthology.org/2022.wildre-1.2",
    pages = "7--12",
}
```
{"language": ["hi", "en", "multilingual"], "license": "cc-by-4.0", "tags": ["hi", "en", "codemix"], "datasets": ["L3Cube-HingCorpus"]}
transformers pytorch safetensors bert fill-mask hi en codemix multilingual dataset:L3Cube-HingCorpus arxiv:2204.08398 license:cc-by-4.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #safetensors #bert #fill-mask #hi #en #codemix #multilingual #dataset-L3Cube-HingCorpus #arxiv-2204.08398 #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #region-us 


## HingMBERT
HingBERT is a Hindi-English code-mixed BERT model trained on roman text. It is a mBERT model fine-tuned on L3Cube-HingCorpus.
<br>
[dataset link] (URL

More details on the dataset, models, and baseline results can be found in our [paper] (URL

Other models from HingBERT family: <br>
<a href="URL HingBERT </a> <br>
<a href="URL HingMBERT </a> <br>
<a href="URL HingBERT-Mixed </a> <br>
<a href="URL HingBERT-Mixed-v2 </a> <br>
<a href="URL HingRoBERTa </a> <br>
<a href="URL HingRoBERTa-Mixed </a> <br>
<a href="URL HingGPT </a> <br>
<a href="URL HingGPT-Devanagari </a> <br>
<a href="URL HingBERT-LID </a> <br>


## HingMBERT
HingBERT is a Hindi-English code-mixed BERT model trained on roman text. It is a mBERT model fine-tuned on L3Cube-HingCorpus.
<br>
[dataset link] (URL

More details on the dataset, models, and baseline results can be found in our [paper] (URL

Other models from HingBERT family: <br>
<a href="URL HingBERT </a> <br>
<a href="URL HingMBERT </a> <br>
<a href="URL HingBERT-Mixed </a> <br>
<a href="URL HingBERT-Mixed-v2 </a> <br>
<a href="URL HingRoBERTa </a> <br>
<a href="URL HingRoBERTa-Mixed </a> <br>
<a href="URL HingGPT </a> <br>
<a href="URL HingGPT-Devanagari </a> <br>
<a href="URL HingBERT-LID </a> <br>
TAGS
#transformers #pytorch #safetensors #bert #fill-mask #hi #en #codemix #multilingual #dataset-L3Cube-HingCorpus #arxiv-2204.08398 #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #region-us 
 ## HingMBERT
HingBERT is a Hindi-English code-mixed BERT model trained on roman text. It is a mBERT model fine-tuned on L3Cube-HingCorpus.
<br>
[dataset link] (URL

More details on the dataset, models, and baseline results can be found in our [paper] (URL

Other models from HingBERT family: <br>
<a href="URL HingBERT </a> <br>
<a href="URL HingMBERT </a> <br>
<a href="URL HingBERT-Mixed </a> <br>
<a href="URL HingBERT-Mixed-v2 </a> <br>
<a href="URL HingRoBERTa </a> <br>
<a href="URL HingRoBERTa-Mixed </a> <br>
<a href="URL HingGPT </a> <br>
<a href="URL HingGPT-Devanagari </a> <br>
<a href="URL HingBERT-LID </a> <br>
passage: TAGS
#transformers #pytorch #safetensors #bert #fill-mask #hi #en #codemix #multilingual #dataset-L3Cube-HingCorpus #arxiv-2204.08398 #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #region-us 
## HingMBERT
HingBERT is a Hindi-English code-mixed BERT model trained on roman text. It is a mBERT model fine-tuned on L3Cube-HingCorpus.
<br>
[dataset link] (URL

More details on the dataset, models, and baseline results can be found in our [paper] (URL

Other models from HingBERT family: <br>
<a href="URL HingBERT </a> <br>
<a href="URL HingMBERT </a> <br>
<a href="URL HingBERT-Mixed </a> <br>
<a href="URL HingBERT-Mixed-v2 </a> <br>
<a href="URL HingRoBERTa </a> <br>
<a href="URL HingRoBERTa-Mixed </a> <br>
<a href="URL HingGPT </a> <br>
<a href="URL HingGPT-Devanagari </a> <br>
<a href="URL HingBERT-LID </a> <br>