scikit-learn

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sklearn-transformers

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scikit-learn 83

• "tokenizers.models.Model",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.linear.Linear",
• "tokenizers.AddedToken",
• "builtins.set",
• "tokenizers.Tokenizer",
• "transformers.models.bart.modeling_bart.BartEncoderLayer",
• "torch._utils._rebuild_tensor_v2",
• "transformers.activations.GELUActivation",
• "torch.nn.modules.sparse.Embedding",
• "transformers.models.bart.modeling_bart.BartAttention",
• "transformers.models.bart.modeling_bart.BartEncoder",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.device",
• "sklearn.linear_model._logistic.LogisticRegression",
• "torch.storage._load_from_bytes",
• "torch.float32",
• "whatlies.language._hftransformers_lang.HFTransformersLanguage",
• "transformers.models.bart.modeling_bart.BartDecoderLayer",
• "collections.OrderedDict",
• "transformers.pipelines.feature_extraction.FeatureExtractionPipeline",
• "numpy.ndarray",
• "numpy.dtype",
• "sklearn.pipeline.Pipeline",
• "transformers.models.bart.modeling_bart.BartModel",
• "torch._utils._rebuild_parameter",
• "transformers.models.bart.configuration_bart.BartConfig",
• "transformers.models.bart.modeling_bart.BartLearnedPositionalEmbedding",
• "torch._C._nn.gelu",
• "transformers.models.bart.tokenization_bart_fast.BartTokenizerFast",
• "transformers.models.bart.modeling_bart.BartDecoder",
• "joblib.numpy_pickle.NumpyArrayWrapper"

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