kardosdrur

/

polymarket_prediction

like 1

• "transformers.activations.GELUActivation",
• "sentence_transformers.sentence_transformer.model_card.SentenceTransformerModelCardData",
• "torch._utils._rebuild_tensor_v2",
• "tokenizers.AddedToken",
• "tokenizers.models.Model",
• "sklearn.tree._classes.DecisionTreeRegressor",
• "transformers.models.mpnet.configuration_mpnet.MPNetConfig",
• "torch.nn.modules.sparse.Embedding",
• "torch.float64",
• "sentence_transformers.base.modality.InputFormatter",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "transformers.models.mpnet.modeling_mpnet.MPNetIntermediate",
• "transformers.models.mpnet.modeling_mpnet.MPNetPooler",
• "sentence_transformers.sentence_transformer.modules.normalize.Normalize",
• "transformers.models.mpnet.modeling_mpnet.MPNetSelfAttention",
• "numpy.ndarray",
• "transformers.models.mpnet.modeling_mpnet.MPNetAttention",
• "torch._C._nn.gelu",
• "sklearn.tree._tree.Tree",
• "torch.nn.modules.dropout.Dropout",
• "transformers.models.mpnet.modeling_mpnet.MPNetModel",
• "torch._utils._rebuild_parameter",
• "collections.OrderedDict",
• "sentence_transformers.sentence_transformer.modules.pooling.Pooling",
• "torch.storage._load_from_bytes",
• "torch.nn.modules.linear.Linear",
• "builtins.getattr",
• "sentence_transformers.sentence_transformer.model.SentenceTransformer",
• "transformers.models.mpnet.modeling_mpnet.MPNetLayer",
• "transformers.models.mpnet.tokenization_mpnet_fast.MPNetTokenizerFast",
• "transformers.models.mpnet.modeling_mpnet.MPNetEmbeddings",
• "sklearn.preprocessing._function_transformer.FunctionTransformer",
• "torch.torch_version.TorchVersion",
• "transformers.models.mpnet.modeling_mpnet.MPNetOutput",
• "torch.nn.modules.container.ModuleList",
• "numpy.dtype",
• "sklearn.ensemble._forest.RandomForestRegressor",
• "transformers.models.mpnet.modeling_mpnet.MPNetEncoder",
• "torch.nn.modules.activation.Tanh",
• "sklearn.pipeline.Pipeline",
• "tokenizers.Tokenizer",
• "sentence_transformers.base.modules.transformer.Transformer",
• "torch.nn.modules.normalization.LayerNorm"

How to fix it?