Fetching metadata from the HF Docker repository...
Update requirements.txt
2ad9d6c verified - 1.52 kB initial commit
- 236 Bytes initial commit
- 3.49 kB Update app.py
- 5.2 kB Update functions_preprocess.py
- 1.43 kB Update main.py
- 21.2 MB Upload model_cnn.pkl
- 180 Bytes Update requirements.txt
sentiment_model.pkl Detected Pickle imports (16)
- "keras.src.preprocessing.text.Tokenizer",
- "numpy.core.multiarray._reconstruct",
- "sklearn.feature_extraction.text.TfidfVectorizer",
- "collections.defaultdict",
- "sklearn.linear_model._stochastic_gradient.SGDClassifier",
- "sklearn.linear_model._sgd_fast.Log",
- "collections.OrderedDict",
- "sklearn.pipeline.Pipeline",
- "builtins.int",
- "functions_preprocess.LinguisticPreprocessor",
- "sklearn.feature_extraction.text.TfidfTransformer",
- "nltk.stem.wordnet.WordNetLemmatizer",
- "numpy.float64",
- "numpy.dtype",
- "numpy.ndarray",
- "scipy.sparse._csr.csr_matrix"
How to fix it?
74.2 MB Upload 4 files