Overview

Transformer Encoder, Decoder and Projection modules' checkpoints available here are trained with Neural Modules Toolkit. NVIDIA’s Apex/Amp O1 optimization level was used for training on V100 GPUs

bpe8k_yttm.model - pretrained tokenizer model
TransformerDecoderNM_2-STEP-37000.pt - pretrained decoder module
TransformerEncoderNM_1-STEP-37000.pt - pretrained encoder module
TransformerLogSoftmaxNM_3-STEP-37000.pt - pre-trained projection layer

Documentation

Refer to documentation at https://github.com/NVIDIA/NeMo

Usage example:\nPut your saved checkpoint into below.

Run nmt_tutorial.py (from NeMo's NLP examples) in an interactive mode:

python nmt_tutorial.py --tokenizer_model bpe8k_yttm.model
\n--eval_datasets test --optimizer novograd --d_model 1024
\n--d_inner 4096 --num_layers 6 --num_attn_heads 16
\n--checkpoint_dir --interactive

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