Datasets:

---

lcalvobartolome

/

proxann_topic_models

like 0

• "sentence_transformers.models.Pooling.Pooling",
• "torch.nn.modules.activation.Tanh",
• "torch._C._nn.gelu",
• "cuml.internals.mem_type.MemoryType",
• "bertopic._bertopic.TopicMapper",
• "transformers.models.bert.modeling_bert.BertIntermediate",
• "sklearn.neighbors._kd_tree.KDTree",
• "torch.nn.modules.dropout.Dropout",
• "torch.nn.modules.linear.Linear",
• "cupy._core.core.array",
• "pylibraft.common.handle.Handle",
• "torch._utils._rebuild_tensor_v2",
• "transformers.models.bert.modeling_bert.BertLayer",
• "transformers.models.bert.modeling_bert.BertPooler",
• "cuml.common.array_descriptor.CumlArrayDescriptorMeta",
• "bertopic.backend._sentencetransformers.SentenceTransformerBackend",
• "builtins.getattr",
• "hdbscan.dist_metrics.EuclideanDistance",
• "collections.Counter",
• "cuml.manifold.umap.UMAP",
• "transformers.models.bert.modeling_bert.BertSelfOutput",
• "cuml.internals.array.CumlArray",
• "hdbscan.hdbscan_.HDBSCAN",
• "collections.OrderedDict",
• "transformers.models.bert.modeling_bert.BertEmbeddings",
• "transformers.models.bert.modeling_bert.BertSdpaSelfAttention",
• "bertopic._bertopic.BERTopic",
• "torch.storage._load_from_bytes",
• "numpy.int64",
• "torch.nn.modules.sparse.Embedding",
• "transformers.models.bert.modeling_bert.BertEncoder",
• "transformers.models.bert.modeling_bert.BertModel",
• "transformers.models.bert.modeling_bert.BertAttention",
• "tokenizers.models.Model",
• "sklearn.neighbors._kd_tree.newObj",
• "numpy.dtype",
• "sklearn.metrics._dist_metrics.newObj",
• "transformers.activations.GELUActivation",
• "hdbscan.dist_metrics.newObj",
• "torch.nn.modules.container.ModuleList",
• "sklearn.feature_extraction.text.CountVectorizer",
• "joblib.memory.Memory",
• "transformers.models.bert.modeling_bert.BertOutput",
• "tokenizers.Tokenizer",
• "hdbscan.prediction.PredictionData",
• "sklearn.metrics._dist_metrics.EuclideanDistance64",
• "sentence_transformers.models.Normalize.Normalize",
• "transformers.models.bert.tokenization_bert_fast.BertTokenizerFast",
• "sentence_transformers.models.Transformer.Transformer",
• "sentence_transformers.SentenceTransformer.SentenceTransformer",
• "torch._utils._rebuild_parameter",
• "numpy.core.multiarray._reconstruct",
• "scipy.sparse._csr.csr_matrix",
• "torch.nn.modules.normalization.LayerNorm",
• "tokenizers.AddedToken",
• "torch.torch_version.TorchVersion",
• "numpy.core.multiarray.scalar",
• "transformers.models.bert.configuration_bert.BertConfig",
• "sentence_transformers.model_card.SentenceTransformerModelCardData",
• "numpy.ndarray",
• "bertopic.vectorizers._ctfidf.ClassTfidfTransformer",
• "cupyx.scipy.sparse._coo.coo_matrix"

How to fix it?