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1. Implement sequence labeling dataset (A `torch.utils.data.Dataset` subclass)
2. Implement a data collator class for sequence labeling (@arxyzan )
3. Add a sequence labeling training example to `he…
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1. Implement sequence labeling dataset (A torch.utils.data.Dataset subclass)
2. Implement a data collator class for sequence labeling (@arxyzan )
3. Add a sequence labeling training example to `heza…
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Right now, in order to use a model to predict on raw data you have to do it like this:
```python
from hezar import Model, Tokenizer
model_path = "hezarai/bert-fa-sentiment-digikala-snappfood"
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This issue is a sub-issue based on the first step in #36 and #39 (Implement sequence labeling dataset (A torch.utils.data.Dataset subclass)).
A ready to use dataset for sequence labeling (PoS taggi…
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Provide a github action file to build the docs and deploy a github page from it to host the docs.
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https://github.com/hezarai/hezar/tree/main/notebooks#notebooks
```In this section, we provide a list of the notebooks that use Hezar. Most of these notebooks have a tutorial perspective regarding dif…
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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?