
# [legacy] t5-sl-small
This is the first version of the t5-sl-small model, which has since been replaced by an updated model (cjvt/t5-sl-small). The architecture of the two models is the same, but the legacy version was trained for about 6 times less (i.e. the model has seen 6 times less data during the training).

This version remains here due to reproducibility reasons.

## Corpora
The following corpora were used for training the model:
* Gigafida 2.0
* Kas 1.0
* Janes 1.0 (only Janes-news, Janes-forum, Janes-blog, Janes-wiki subcorpora)
* Slovenian parliamentary corpus siParl 2.0
* slWaC

{"language": ["sl"], "license": "cc-by-sa-4.0"}
transformers pytorch t5 text2text-generation sl license:cc-by-sa-4.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #text2text-generation #sl #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 


# [legacy] t5-sl-small
This is the first version of the t5-sl-small model, which has since been replaced by an updated model (cjvt/t5-sl-small). The architecture of the two models is the same, but the legacy version was trained for about 6 times less (i.e. the model has seen 6 times less data during the training).

This version remains here due to reproducibility reasons.

## Corpora
The following corpora were used for training the model:
* Gigafida 2.0
* Kas 1.0
* Janes 1.0 (only Janes-news, Janes-forum, Janes-blog, Janes-wiki subcorpora)
* Slovenian parliamentary corpus siParl 2.0
* slWaC

# [legacy] t5-sl-small
This is the first version of the t5-sl-small model, which has since been replaced by an updated model (cjvt/t5-sl-small). The architecture of the two models is the same, but the legacy version was trained for about 6 times less (i.e. the model has seen 6 times less data during the training).

This version remains here due to reproducibility reasons. ## Corpora
The following corpora were used for training the model:
* Gigafida 2.0
* Kas 1.0
* Janes 1.0 (only Janes-news, Janes-forum, Janes-blog, Janes-wiki subcorpora)
* Slovenian parliamentary corpus siParl 2.0
* slWaC
TAGS
#transformers #pytorch #t5 #text2text-generation #sl #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # [legacy] t5-sl-small
This is the first version of the t5-sl-small model, which has since been replaced by an updated model (cjvt/t5-sl-small). The architecture of the two models is the same, but the legacy version was trained for about 6 times less (i.e. the model has seen 6 times less data during the training).

This version remains here due to reproducibility reasons. ## Corpora
The following corpora were used for training the model:
* Gigafida 2.0
* Kas 1.0
* Janes 1.0 (only Janes-news, Janes-forum, Janes-blog, Janes-wiki subcorpora)
* Slovenian parliamentary corpus siParl 2.0
* slWaC
passage: TAGS
#transformers #pytorch #t5 #text2text-generation #sl #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# [legacy] t5-sl-small
This is the first version of the t5-sl-small model, which has since been replaced by an updated model (cjvt/t5-sl-small). The architecture of the two models is the same, but the legacy version was trained for about 6 times less (i.e. the model has seen 6 times less data during the training).

This version remains here due to reproducibility reasons.## Corpora
The following corpora were used for training the model:
* Gigafida 2.0
* Kas 1.0
* Janes 1.0 (only Janes-news, Janes-forum, Janes-blog, Janes-wiki subcorpora)
* Slovenian parliamentary corpus siParl 2.0
* slWaC