
## About model

This model based on [cointegrated/LaBSE-en-ru](https://huggingface.co/cointegrated/LaBSE-en-ru).

And trained on [surdan/nerel_short](https://huggingface.co/datasets/surdan/nerel_short) dataset

You can find more info:

- How the model was trained [Train_model.ipynb](https://huggingface.co/surdan/LaBSE_ner_nerel/blob/main/Train_model.ipynb)
- Example of usage model [Inference.ipynb](https://huggingface.co/surdan/LaBSE_ner_nerel/blob/main/Inference.ipynb)
{"language": ["ru", "en"], "tasks": ["token-classification"]}
transformers pytorch bert token-classification ru en autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #token-classification #ru #en #autotrain_compatible #endpoints_compatible #region-us 


## About model

This model based on cointegrated/LaBSE-en-ru.

And trained on surdan/nerel_short dataset

You can find more info:

- How the model was trained Train_model.ipynb
- Example of usage model URL
## About model

This model based on cointegrated/LaBSE-en-ru.

And trained on surdan/nerel_short dataset

You can find more info:

- How the model was trained Train_model.ipynb
- Example of usage model URL
TAGS
#transformers #pytorch #bert #token-classification #ru #en #autotrain_compatible #endpoints_compatible #region-us 
 ## About model

This model based on cointegrated/LaBSE-en-ru.

And trained on surdan/nerel_short dataset

You can find more info:

- How the model was trained Train_model.ipynb
- Example of usage model URL
passage: TAGS
#transformers #pytorch #bert #token-classification #ru #en #autotrain_compatible #endpoints_compatible #region-us 
## About model

This model based on cointegrated/LaBSE-en-ru.

And trained on surdan/nerel_short dataset

You can find more info:

- How the model was trained Train_model.ipynb
- Example of usage model URL