Hugging Face
Models
Datasets
Spaces
Buckets
new
Docs
Enterprise
Pricing
Website
Tasks
HuggingChat
Collections
Languages
Organizations
Community
Blog
Posts
Daily Papers
Hardware
Learn
Discord
Forum
GitHub
Solutions
Team & Enterprise
Hugging Face PRO
Enterprise Support
Inference Providers
Inference Endpoints
Storage Buckets
Log In
Sign Up
Spaces:
lcokun
/
nlp-showcase
like
0
Running
App
Files
Files
Community
Fetching metadata from the HF Docker repository...
main
nlp-showcase
/
models
18.3 MB
Ctrl+K
Ctrl+K
5 contributors
History:
4 commits
Efxn-spec
Fix streamlit accuracy that suppose to tally with the actual model accuracy
cad0efe
about 1 month ago
distillbert
add colab notebook, distilbert, xai, inference module
about 2 months ago
logistic_regression_bow.joblib
pickle
Detected Pickle imports (4)
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"sklearn.linear_model._logistic.LogisticRegression"
,
"numpy.ndarray"
,
"numpy.dtype"
How to fix it?
401 kB
xet
Fix streamlit accuracy that suppose to tally with the actual model accuracy
about 1 month ago
logistic_regression_bow_bilingual.joblib
pickle
Detected Pickle imports (4)
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"numpy.dtype"
,
"numpy.ndarray"
,
"sklearn.linear_model._logistic.LogisticRegression"
How to fix it?
401 kB
xet
feat: add bilingual support with XLM-RoBERTa and classical bilingual models
about 1 month ago
logistic_regression_tfidf.joblib
pickle
Detected Pickle imports (4)
"numpy.dtype"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"sklearn.linear_model._logistic.LogisticRegression"
,
"numpy.ndarray"
How to fix it?
401 kB
xet
Fix streamlit accuracy that suppose to tally with the actual model accuracy
about 1 month ago
logistic_regression_tfidf_bilingual.joblib
pickle
Detected Pickle imports (4)
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"sklearn.linear_model._logistic.LogisticRegression"
,
"numpy.dtype"
,
"numpy.ndarray"
How to fix it?
401 kB
xet
feat: add bilingual support with XLM-RoBERTa and classical bilingual models
about 1 month ago
naive_bayes_bow.joblib
pickle
Detected Pickle imports (4)
"numpy.dtype"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"sklearn.naive_bayes.MultinomialNB"
,
"numpy.ndarray"
How to fix it?
1.6 MB
xet
Fix streamlit accuracy that suppose to tally with the actual model accuracy
about 1 month ago
naive_bayes_bow_bilingual.joblib
pickle
Detected Pickle imports (4)
"numpy.ndarray"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"sklearn.naive_bayes.MultinomialNB"
,
"numpy.dtype"
How to fix it?
1.6 MB
xet
feat: add bilingual support with XLM-RoBERTa and classical bilingual models
about 1 month ago
naive_bayes_tfidf.joblib
pickle
Detected Pickle imports (4)
"numpy.dtype"
,
"numpy.ndarray"
,
"sklearn.naive_bayes.MultinomialNB"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
How to fix it?
1.6 MB
xet
Fix streamlit accuracy that suppose to tally with the actual model accuracy
about 1 month ago
naive_bayes_tfidf_bilingual.joblib
pickle
Detected Pickle imports (4)
"sklearn.naive_bayes.MultinomialNB"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"numpy.ndarray"
,
"numpy.dtype"
How to fix it?
1.6 MB
xet
feat: add bilingual support with XLM-RoBERTa and classical bilingual models
about 1 month ago
svm_bow.joblib
pickle
Detected Pickle imports (4)
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"sklearn.svm._classes.LinearSVC"
,
"numpy.ndarray"
,
"numpy.dtype"
How to fix it?
401 kB
xet
Fix streamlit accuracy that suppose to tally with the actual model accuracy
about 1 month ago
svm_bow_bilingual.joblib
pickle
Detected Pickle imports (4)
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"numpy.ndarray"
,
"numpy.dtype"
,
"sklearn.linear_model._stochastic_gradient.SGDClassifier"
How to fix it?
401 kB
xet
feat: add bilingual support with XLM-RoBERTa and classical bilingual models
about 1 month ago
svm_tfidf.joblib
pickle
Detected Pickle imports (4)
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"numpy.ndarray"
,
"sklearn.svm._classes.LinearSVC"
,
"numpy.dtype"
How to fix it?
401 kB
xet
Fix streamlit accuracy that suppose to tally with the actual model accuracy
about 1 month ago
svm_tfidf_bilingual.joblib
pickle
Detected Pickle imports (4)
"numpy.ndarray"
,
"sklearn.svm._classes.LinearSVC"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"numpy.dtype"
How to fix it?
401 kB
xet
feat: add bilingual support with XLM-RoBERTa and classical bilingual models
about 1 month ago
vectorizer_bow.joblib
pickle
Detected Pickle imports (4)
"sklearn.feature_extraction.text.CountVectorizer"
,
"numpy.dtype"
,
"numpy.int64"
,
"numpy._core.multiarray.scalar"
How to fix it?
1.88 MB
xet
Fix streamlit accuracy that suppose to tally with the actual model accuracy
about 1 month ago
vectorizer_bow_bilingual.joblib
pickle
Detected Pickle imports (4)
"sklearn.feature_extraction.text.CountVectorizer"
,
"numpy.int64"
,
"numpy.dtype"
,
"numpy._core.multiarray.scalar"
How to fix it?
1.46 MB
xet
feat: add bilingual support with XLM-RoBERTa and classical bilingual models
about 1 month ago
vectorizer_tfidf.joblib
pickle
Detected Pickle imports (7)
"sklearn.feature_extraction.text.TfidfVectorizer"
,
"numpy.dtype"
,
"scipy.sparse._csr.csr_matrix"
,
"numpy.float64"
,
"numpy.ndarray"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"sklearn.feature_extraction.text.TfidfTransformer"
How to fix it?
2.68 MB
xet
Fix streamlit accuracy that suppose to tally with the actual model accuracy
about 1 month ago
vectorizer_tfidf_bilingual.joblib
pickle
Detected Pickle imports (6)
"sklearn.feature_extraction.text.TfidfVectorizer"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"numpy.float64"
,
"numpy.ndarray"
,
"numpy.dtype"
,
"sklearn.feature_extraction.text.TfidfTransformer"
How to fix it?
1.86 MB
xet
feat: add bilingual support with XLM-RoBERTa and classical bilingual models
about 1 month ago
