-- Requested enhancement description (What would you like to accomplish?) --
I am submitting this Feature Request to propose an enhancement for the CA_ES language tag. The primary goal is to expand its functionality by either increasing the number of available models or enhancing the features available in the existing models. One specific example of a feature that would greatly benefit users is the “model adaptation” capability, which is currently not enabled for this language tag.
Enhancing the CA_ES language tag in this way would significantly improve its versatility and make it more aligned with the diverse requirements of different use cases and contexts.
-- Other information (workarounds you have tried, documentation consulted, etc) --
Currently, the CA_ES language tag is limited to only three models. While these models are functional, they do not fully meet the varying demands across different scenarios or projects. This limitation poses issues in addressing broader language-related needs effectively.
As a workaround, we’ve explored the available documentation and resources but have found no immediate solutions to bridge the gaps in functionality. Additional support or improvements to the CA_ES language tag would address this shortfall and deliver more comprehensive coverage for diverse requirements.
Description
I am submitting this Feature Request to propose an enhancement for the CA_ES language tag. The primary goal is to expand its functionality by either increasing the number of available models or enhancing the features available in the existing models. One specific example of a feature that would greatly benefit users is the “model adaptation” capability, which is currently not enabled for this language tag.
Enhancing the CA_ES language tag in this way would significantly improve its versatility and make it more aligned with the diverse requirements of different use cases and contexts.
-- Other information (workarounds you have tried, documentation consulted, etc) --
Currently, the CA_ES language tag is limited to only three models. While these models are functional, they do not fully meet the varying demands across different scenarios or projects. This limitation poses issues in addressing broader language-related needs effectively.
As a workaround, we’ve explored the available documentation and resources but have found no immediate solutions to bridge the gaps in functionality. Additional support or improvements to the CA_ES language tag would address this shortfall and deliver more comprehensive coverage for diverse requirements.