neuralspace-reverie/indic-transformers-bn-bert

This is a BERT language model pre-trained on 3 GB of monolingual training corpus . The pre-training data was majorly taken from OSCAR . This model can be fine-tuned on various downstream tasks like POS-tagging, question-answering, etc. Embeddings from this model can also be used for feature-based training . The original language model has been trained using PyTorch and hence the use of Pytorch_model.bin weights file is recommended . The h5 file for Tensorflow has been generated manually by commands suggested here . It is generated manually using commands suggested by commands such as the commands suggested in this article .,