|
--- |
|
language: |
|
- en |
|
- de |
|
license: apache-2.0 |
|
datasets: |
|
- wmt14 |
|
tags: |
|
- translation |
|
--- |
|
|
|
# bert2bert_L-24_wmt_en_de EncoderDecoder model |
|
|
|
The model was introduced in |
|
[this paper](https://arxiv.org/abs/1907.12461) by Sascha Rothe, Shashi Narayan, Aliaksei Severyn and first released in [this repository](https://tfhub.dev/google/bertseq2seq/bert24_en_de/1). |
|
|
|
The model is an encoder-decoder model that was initialized on the `bert-large` checkpoints for both the encoder |
|
and decoder and fine-tuned on English to German translation on the WMT dataset, which is linked above. |
|
|
|
Disclaimer: The model card has been written by the Hugging Face team. |
|
|
|
## How to use |
|
|
|
You can use this model for translation, *e.g.* |
|
|
|
```python |
|
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM |
|
|
|
tokenizer = AutoTokenizer.from_pretrained("google/bert2bert_L-24_wmt_en_de", pad_token="<pad>", eos_token="</s>", bos_token="<s>") |
|
model = AutoModelForSeq2SeqLM.from_pretrained("google/bert2bert_L-24_wmt_en_de") |
|
|
|
sentence = "Would you like to grab a coffee with me this week?" |
|
|
|
input_ids = tokenizer(sentence, return_tensors="pt", add_special_tokens=False).input_ids |
|
output_ids = model.generate(input_ids)[0] |
|
print(tokenizer.decode(output_ids, skip_special_tokens=True)) |
|
# should output |
|
# Möchten Sie diese Woche einen Kaffee mit mir schnappen? |
|
|
