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nexa-classify-api / saved_models

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distilbert_base_uncased
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distilbert_base_uncased_int8
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traditional_lr.joblib
Detected Pickle imports (7)
- "sklearn.feature_extraction.text.TfidfVectorizer",
- "sklearn.pipeline.Pipeline",
- "numpy.dtype",
- "sklearn.feature_extraction.text.TfidfTransformer",
- "numpy.float64",
- "numpy.ndarray",
- "joblib.numpy_pickle.NumpyArrayWrapper"
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4.28 MB
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traditional_lr_optimized.joblib
Detected Pickle imports (7)
- "numpy.float32",
- "sklearn.pipeline.Pipeline",
- "numpy.dtype",
- "sklearn.feature_extraction.text.TfidfVectorizer",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "sklearn.feature_extraction.text.TfidfTransformer",
- "numpy.ndarray"
How to fix it?
4.14 MB
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traditional_svm.joblib
Detected Pickle imports (7)
- "numpy.ndarray",
- "sklearn.feature_extraction.text.TfidfTransformer",
- "numpy.float64",
- "sklearn.feature_extraction.text.TfidfVectorizer",
- "numpy.dtype",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "sklearn.pipeline.Pipeline"
How to fix it?
4.28 MB
xet

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traditional_svm_optimized.joblib
Detected Pickle imports (7)
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "sklearn.pipeline.Pipeline",
- "numpy.ndarray",
- "numpy.float32",
- "sklearn.feature_extraction.text.TfidfTransformer",
- "numpy.dtype",
- "sklearn.feature_extraction.text.TfidfVectorizer"
How to fix it?
5.42 MB
xet

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