7gonzalodm

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team-classifier

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• "transformers.models.siglip.modeling_siglip.SiglipMultiheadAttentionPoolingHead",
• "transformers.models.siglip.modeling_siglip.SiglipMLP",
• "transformers.models.siglip.image_processing_siglip.SiglipImageProcessor",
• "torch.FloatStorage",
• "numpy._core.multiarray._reconstruct",
• "torch.nn.modules.container.ModuleList",
• "transformers.models.siglip.modeling_siglip.SiglipEncoder",
• "sklearn.cluster._kmeans.KMeans",
• "collections.OrderedDict",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "numpy._core.multiarray.scalar",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.nn.modules.linear.Linear",
• "transformers.activations.PytorchGELUTanh",
• "numba.core.serialize.custom_rebuild",
• "transformers.tokenization_utils.Trie",
• "numba.core.serialize._unpickle__CustomPickled",
• "transformers.models.siglip.configuration_siglip.SiglipVisionConfig",
• "transformers.models.siglip.modeling_siglip.SiglipVisionEmbeddings",
• "transformers.models.siglip.modeling_siglip.SiglipVisionModel",
• "torch._utils._rebuild_parameter",
• "transformers.models.siglip.modeling_siglip.SiglipVisionTransformer",
• "tokenizers.AddedToken",
• "torch.LongStorage",
• "_codecs.encode",
• "umap.umap_.UMAP",
• "torch.nn.modules.activation.MultiheadAttention",
• "torch.nn.modules.sparse.Embedding",
• "transformers.models.siglip.modeling_siglip.SiglipEncoderLayer",
• "sports.common.team.TeamClassifier",
• "transformers.models.siglip.modeling_siglip.SiglipAttention",
• "__builtin__.set",
• "transformers.models.siglip.tokenization_siglip.SiglipTokenizer",
• "numpy.ndarray",
• "torch.float32",
• "scipy.sparse._csr.csr_matrix",
• "transformers.models.siglip.processing_siglip.SiglipProcessor",
• "numpy.dtype",
• "torch.nn.modules.conv.Conv2d"

How to fix it?