
# BLEURT

Pretrained model on English language. It was introduced in
[this paper](https://arxiv.org/pdf/2004.04696.pdf), described in [this blogpost](https://ai.googleblog.com/2020/05/evaluating-natural-language-generation.html) and first released in
[this repository](https://github.com/google-research/bleurt).

The team releasing BLEURT did not write a model card for this model so this model card has been written by
the Surfer team.

Original TensorFlow implementation has been converted to PyTorch with help of [this article](https://medium.com/huggingface/from-tensorflow-to-pytorch-265f40ef2a28) by Surfer team.

Visit us at [surferseo.com](https://surferseo.com).

### How to use

Since BLEURT is not implemented in transformers library yet, you have to import BleurtModel from bleurt_model.py

```python
import torch
from bleurt_model import BleurtModel
from transformers import BertTokenizerFast

model = BleurtModel.from_pretrained("SurferSEO/bleurt")
tokenizer = BertTokenizerFast.from_pretrained("SurferSEO/bleurt")

sentence_pairs = [("I love surfing.", "I'd like to surf.")]
encoded = tokenizer(sentence_pairs, padding=True, truncation=True, return_tensors="pt")
input_ids, attention_mask, token_type_ids = (
    encoded["input_ids"],
    encoded["attention_mask"],
    encoded["token_type_ids"],
)
with torch.set_grad_enabled(False):
    predictions = model(
        input_ids=input_ids,
        attention_mask=attention_mask,
        token_type_ids=token_type_ids,
    )
print(predictions)
```
{"language": "en", "license": "apache-2.0"}
transformers pytorch bert en arxiv:2004.04696 license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #en #arxiv-2004.04696 #license-apache-2.0 #endpoints_compatible #region-us 


# BLEURT

Pretrained model on English language. It was introduced in
this paper, described in this blogpost and first released in
this repository.

The team releasing BLEURT did not write a model card for this model so this model card has been written by
the Surfer team.

Original TensorFlow implementation has been converted to PyTorch with help of this article by Surfer team.

Visit us at URL.

### How to use

Since BLEURT is not implemented in transformers library yet, you have to import BleurtModel from bleurt_model.py


# BLEURT

Pretrained model on English language. It was introduced in
this paper, described in this blogpost and first released in
this repository.

The team releasing BLEURT did not write a model card for this model so this model card has been written by
the Surfer team.

Original TensorFlow implementation has been converted to PyTorch with help of this article by Surfer team.

Visit us at URL. ### How to use

Since BLEURT is not implemented in transformers library yet, you have to import BleurtModel from bleurt_model.py
TAGS
#transformers #pytorch #bert #en #arxiv-2004.04696 #license-apache-2.0 #endpoints_compatible #region-us 
 # BLEURT

Pretrained model on English language. It was introduced in
this paper, described in this blogpost and first released in
this repository.

The team releasing BLEURT did not write a model card for this model so this model card has been written by
the Surfer team.

Original TensorFlow implementation has been converted to PyTorch with help of this article by Surfer team.

Visit us at URL. ### How to use

Since BLEURT is not implemented in transformers library yet, you have to import BleurtModel from bleurt_model.py
passage: TAGS
#transformers #pytorch #bert #en #arxiv-2004.04696 #license-apache-2.0 #endpoints_compatible #region-us 
# BLEURT

Pretrained model on English language. It was introduced in
this paper, described in this blogpost and first released in
this repository.

The team releasing BLEURT did not write a model card for this model so this model card has been written by
the Surfer team.

Original TensorFlow implementation has been converted to PyTorch with help of this article by Surfer team.

Visit us at URL.### How to use

Since BLEURT is not implemented in transformers library yet, you have to import BleurtModel from bleurt_model.py