Related Issues (20)
- how to manage output values of prediction (predictor.predict_batch) HOT 2
- Target Batch Size Doubling: ValueError: Target size (torch.Size([16, 5])) must be the same as input size (torch.Size([8, 5])) HOT 1
- Missing token-level classification task
- Issue with BertNERPredictor.predict_batch(array)
- PicklingError: Can't pickle <class 'fast_bert.data_cls.InputFeatures'>: import of module 'fast_bert.data_cls' failed
- Support for Semantic Search/Semantic similarity
- Any way to save the model artifacts during training?
- lr_find() taking so much time when running readme.md example
- Converting a Pytorch Dataloader to BertDataBunch
- Error in `predict` for BertClassificationPredictor - logger is None
- can the version pins for tokenizers and transformers be removed, in requirements.txt? HOT 2
- [Suggestion] Pin requirement versions (specifically python-box) HOT 1
- [BUG] AttributeError: 'RobertaTokenizer' object has no attribute 'max_len'
- TypeError: forward() got an unexpected keyword argument 'masked_lm_labels'
- DtypeWarning: Columns (0,1) have mixed types. Specify dtype option on import or set low_memory=False HOT 2
- How to use cuDNN device with fast-bert HOT 2
- accuracy function only gives zero-output and breaks for new numpy version
- Creation of BertClassificationPredictor breaks
- How to load model.safetensors using fast_bert using python3.*
- Exception has occurred: TypeError object of type 'NoneType' has no len() in learner_cls.py when do Model inference
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from fast-bert.