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codebert-so-tagger-large

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codebert-so-tagger-large / w2v_model

4.7 GB

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History: 7 commits

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training_state.json

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word2vec.model
Detected Pickle imports (12)
- "collections.defaultdict",
- "numpy.random._pickle.__randomstate_ctor",
- "numpy.ndarray",
- "numpy.random._pickle.__bit_generator_ctor",
- "numpy.random._mt19937.MT19937",
- "builtins.hash",
- "numpy._core.multiarray._reconstruct",
- "gensim.models.keyedvectors.KeyedVectors",
- "builtins.int",
- "gensim.models.word2vec.Word2Vec",
- "numpy.dtype",
- "gensim.utils.call_on_class_only"
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64.3 MB
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word2vec.model.syn1neg.npy

2.32 GB
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word2vec.model.wv.vectors.npy

2.32 GB
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