
# BART-large on Vietnamese News

Details will be available soon.

For more information, please contact anhduongng.1001@gmail.com (Dương).

### Important note
When finetuning this model on downstream tasks (e.g. text summarization), ensure that your label has the form of `tokenizer.bos_token + target + tokenizer.eos_token` before tokenizing.
{"language": "vi"}
transformers jax tensorboard bart text2text-generation vi autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #jax #tensorboard #bart #text2text-generation #vi #autotrain_compatible #endpoints_compatible #region-us 


# BART-large on Vietnamese News

Details will be available soon.

For more information, please contact anhduongng.1001@URL (Dương).

### Important note
When finetuning this model on downstream tasks (e.g. text summarization), ensure that your label has the form of 'tokenizer.bos_token + target + tokenizer.eos_token' before tokenizing.
# BART-large on Vietnamese News

Details will be available soon.

For more information, please contact anhduongng.1001@URL (Dương). ### Important note
When finetuning this model on downstream tasks (e.g. text summarization), ensure that your label has the form of 'tokenizer.bos_token + target + tokenizer.eos_token' before tokenizing.
TAGS
#transformers #jax #tensorboard #bart #text2text-generation #vi #autotrain_compatible #endpoints_compatible #region-us 
 # BART-large on Vietnamese News

Details will be available soon.

For more information, please contact anhduongng.1001@URL (Dương). ### Important note
When finetuning this model on downstream tasks (e.g. text summarization), ensure that your label has the form of 'tokenizer.bos_token + target + tokenizer.eos_token' before tokenizing.
passage: TAGS
#transformers #jax #tensorboard #bart #text2text-generation #vi #autotrain_compatible #endpoints_compatible #region-us 
# BART-large on Vietnamese News

Details will be available soon.

For more information, please contact anhduongng.1001@URL (Dương).### Important note
When finetuning this model on downstream tasks (e.g. text summarization), ensure that your label has the form of 'tokenizer.bos_token + target + tokenizer.eos_token' before tokenizing.