# Bert Europarl (bert-europarl-en)

This model is a fine-tuned version of the [BERT base model](https://huggingface.co/bert-base-uncased). It was introduced in [this paper](https://aclanthology.org/2022.acl-long.379/).

## Model description

The BERT base language model was fine-tuned on an English portion of the [Europarl corpus](https://aclanthology.org/2005.mtsummit-papers.11.pdf).
The model was trained on 1,076,468 sentences of the Europarl corpus. The sentences were sampled from the English portion of Europarl.

{}
transformers pytorch bert feature-extraction endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #feature-extraction #endpoints_compatible #region-us 

# Bert Europarl (bert-europarl-en)

This model is a fine-tuned version of the BERT base model. It was introduced in this paper.

## Model description

The BERT base language model was fine-tuned on an English portion of the Europarl corpus.
The model was trained on 1,076,468 sentences of the Europarl corpus. The sentences were sampled from the English portion of Europarl.

# Bert Europarl (bert-europarl-en)

This model is a fine-tuned version of the BERT base model. It was introduced in this paper. ## Model description

The BERT base language model was fine-tuned on an English portion of the Europarl corpus.
The model was trained on 1,076,468 sentences of the Europarl corpus. The sentences were sampled from the English portion of Europarl.
TAGS
#transformers #pytorch #bert #feature-extraction #endpoints_compatible #region-us 
 # Bert Europarl (bert-europarl-en)

This model is a fine-tuned version of the BERT base model. It was introduced in this paper. ## Model description

The BERT base language model was fine-tuned on an English portion of the Europarl corpus.
The model was trained on 1,076,468 sentences of the Europarl corpus. The sentences were sampled from the English portion of Europarl.
passage: TAGS
#transformers #pytorch #bert #feature-extraction #endpoints_compatible #region-us 
# Bert Europarl (bert-europarl-en)

This model is a fine-tuned version of the BERT base model. It was introduced in this paper.## Model description

The BERT base language model was fine-tuned on an English portion of the Europarl corpus.
The model was trained on 1,076,468 sentences of the Europarl corpus. The sentences were sampled from the English portion of Europarl.