Comments (1)
Hi @a-sharma123 you can get the probabilities by using the SetFitModel.predict_proba([text])
method. Hope that helps :)
from setfit.
Related Issues (20)
- Kernel crash due to out of memory for large dataset HOT 7
- Displayed "Num examples" after the training start seems wrong HOT 1
- Unfreezing and freezing in new version HOT 3
- Runtime error during training HOT 2
- RuntimeError: CUDA error: device-side assert triggered HOT 2
- Very low and inaccurate prediction probabilities for multi-class classification HOT 4
- create_model_card() TemplateAssertionError HOT 1
- Unable to reproduce hyper param results HOT 4
- Use e5-mistral-7b-instruct as body model for text classification HOT 2
- Unable to run Text-Classification task because of error related to 'experiment_name' HOT 3
- trust_remote_code not passed in properly
- Totally unreliable results. What I'm doing wrong? HOT 1
- ABSA for Non-English Language HOT 4
- facing issue while importing setfit classifier HOT 1
- Warning from sentence-transformer, version 2.3.1 HOT 1
- Hyperparameter tuning for AbsaModel
- No timeout downloading model card data from hub api when loading pretrained model in disconnected environment
- model_config = model.config.to_dict() - AttributeError: 'dict' object has no attribute 'to_dict' HOT 9
- ValueError: Multioutput target data is not supported with label binarization
- Mis-alignment between Sentence Embeddings and Classifier in multi-label classification ?
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from setfit.