Instructions to use GPTGone/GPTGone_ensemble with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use GPTGone/GPTGone_ensemble with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("GPTGone/GPTGone_ensemble") - Notebooks
- Google Colab
- Kaggle
added in the svm models
#2
by ffeew - opened
svm/v1/svm_rbf_model_no_gltr.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:3032fe04353e781b6d5ca8b5cac91f824df9fe8e3bfe20ddd3e89861e06065da
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size 10896172
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svm/v1/tfidf_vectorizer.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:f558ea597731c377071b436cdae621be71381187d0a8d142c5b5c0911212b4cf
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size 782942
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svm/v2/svm_linear_model_100000_features.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:8452c5d5dc8cf2056a8dd330d7a5daf9cc73e5c204ddf381d01ad64625f8c9a9
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size 21355724
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svm/v2/tfidf_vectorizer_100000_features.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:d0cc8b59df6bdda941a57948bda8ac6741d401a91a3ae58866e923db12dd3610
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size 137507825
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