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Right now, there is only one Trainer class in `trainers` and it's been only tested for text classification tasks.
A lot of other libraries have implemented a similar class for all of their trainings…
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Add Roberta model from Transformers for sequence labeling. See `BertSequenceLabeling` and `RobertaTextClassification` for references.
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How can we access the preprocessors in the Trainer properly?
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https://github.com/hezarai/hezar/blob/c7b0ae3a09eda2aaa2302060e6dc2640ed80d4be/pyproject.toml#L34
For example:
torch = ">=1.10.0, =1.10.0"
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# Hezar: A seamless AI library for Persian Language or Persian Community.
I believe it would be better to be explicit about it in all over the docs/Readme
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Add the sequence labeling data collator class as `hezar.data.data_collators.SequenceLabelingDataCollator()`
This class would be a reimplementation of the class `transformers.data.data_collator.DataCo…
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https://github.com/hezarai/hezar/blob/2f64bae79189d40cc99a4e6e37491d812b91c261/.github/workflows/pypi-release.yml#L6
It is an old habit to add v at the beginning of a tag. Please remove it.
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I attempted to test the workflow by creating a new tag and it raised an error.
See it here: https://github.com/hezarai/hezar/actions/runs/5399733975/jobs/9807244244#step:3:10
@pooya-mohammadi Ca…
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Word embeddings module is a must-have feature in Hezar! Both ready-to-use models and trainers. More on this later...