
# Barba

Barba is a multilingual [natural language inference](http://nlpprogress.com/english/natural_language_inference.html) model for [textual entailment](https://en.wikipedia.org/wiki/Textual_entailment) and [zero-shot text classification](https://joeddav.github.io/blog/2020/05/29/ZSL.html#Classification-as-Natural-Language-Inference), available as an end-to-end service through TensorFlow Serving. Based on [XLM-RoBERTa](https://arxiv.org/abs/1911.02116), it is trained on selected subsets of publicly available English ([GLUE](https://huggingface.co/datasets/glue)), Chinese ([CLUE](https://huggingface.co/datasets/clue)), Japanese ([JGLUE](https://huggingface.co/datasets/shunk031/JGLUE)), Korean ([KLUE](https://huggingface.co/datasets/klue)) datasets, as well as other private datasets.

GitHub: https://github.com/hyperonym/barba

### Framework versions

- Transformers 4.28.1
- TensorFlow 2.11.1
- Datasets 2.11.0
- Tokenizers 0.13.3
{"language": ["en", "zh", "ja", "ko"], "license": "mit", "tags": ["generated_from_keras_callback"], "datasets": ["snli", "glue", "clue", "shunk031/JGLUE", "klue"], "model-index": [{"name": "barba", "results": []}]}
transformers tf xlm-roberta text-classification generated_from_keras_callback en zh ja ko dataset:snli dataset:glue dataset:clue dataset:shunk031/JGLUE dataset:klue arxiv:1911.02116 license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #tf #xlm-roberta #text-classification #generated_from_keras_callback #en #zh #ja #ko #dataset-snli #dataset-glue #dataset-clue #dataset-shunk031/JGLUE #dataset-klue #arxiv-1911.02116 #license-mit #autotrain_compatible #endpoints_compatible #region-us 


# Barba

Barba is a multilingual natural language inference model for textual entailment and zero-shot text classification, available as an end-to-end service through TensorFlow Serving. Based on XLM-RoBERTa, it is trained on selected subsets of publicly available English (GLUE), Chinese (CLUE), Japanese (JGLUE), Korean (KLUE) datasets, as well as other private datasets.

GitHub: URL

### Framework versions

- Transformers 4.28.1
- TensorFlow 2.11.1
- Datasets 2.11.0
- Tokenizers 0.13.3
# Barba

Barba is a multilingual natural language inference model for textual entailment and zero-shot text classification, available as an end-to-end service through TensorFlow Serving. Based on XLM-RoBERTa, it is trained on selected subsets of publicly available English (GLUE), Chinese (CLUE), Japanese (JGLUE), Korean (KLUE) datasets, as well as other private datasets.

GitHub: URL ### Framework versions

- Transformers 4.28.1
- TensorFlow 2.11.1
- Datasets 2.11.0
- Tokenizers 0.13.3
TAGS
#transformers #tf #xlm-roberta #text-classification #generated_from_keras_callback #en #zh #ja #ko #dataset-snli #dataset-glue #dataset-clue #dataset-shunk031/JGLUE #dataset-klue #arxiv-1911.02116 #license-mit #autotrain_compatible #endpoints_compatible #region-us 
 # Barba

Barba is a multilingual natural language inference model for textual entailment and zero-shot text classification, available as an end-to-end service through TensorFlow Serving. Based on XLM-RoBERTa, it is trained on selected subsets of publicly available English (GLUE), Chinese (CLUE), Japanese (JGLUE), Korean (KLUE) datasets, as well as other private datasets.

GitHub: URL ### Framework versions

- Transformers 4.28.1
- TensorFlow 2.11.1
- Datasets 2.11.0
- Tokenizers 0.13.3
TAGS
#transformers #tf #xlm-roberta #text-classification #generated_from_keras_callback #en #zh #ja #ko #dataset-snli #dataset-glue #dataset-clue #dataset-shunk031/JGLUE #dataset-klue #arxiv-1911.02116 #license-mit #autotrain_compatible #endpoints_compatible #region-us 
# Barba

Barba is a multilingual natural language inference model for textual entailment and zero-shot text classification, available as an end-to-end service through TensorFlow Serving. Based on XLM-RoBERTa, it is trained on selected subsets of publicly available English (GLUE), Chinese (CLUE), Japanese (JGLUE), Korean (KLUE) datasets, as well as other private datasets.

GitHub: URL### Framework versions

- Transformers 4.28.1
- TensorFlow 2.11.1
- Datasets 2.11.0
- Tokenizers 0.13.3