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xlinear_model_topics

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• "collections.OrderedDict",
• "torch.storage._load_from_bytes",
• "torch.nn.modules.dropout.Dropout",
• "torch.torch_version.TorchVersion",
• "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaOutput",
• "torch._utils._rebuild_parameter",
• "sentence_transformers.SentenceTransformer.SentenceTransformer",
• "transformers.models.xlm_roberta.configuration_xlm_roberta.XLMRobertaConfig",
• "transformers.activations.GELUActivation",
• "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaAttention",
• "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaSdpaSelfAttention",
• "tokenizers.AddedToken",
• "sentence_transformers.models.Normalize.Normalize",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.container.ModuleList",
• "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaModel",
• "sentence_transformers.model_card.SentenceTransformerModelCardData",
• "torch._C._nn.gelu",
• "torch.nn.modules.activation.Tanh",
• "sentence_transformers.models.Transformer.Transformer",
• "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaIntermediate",
• "sentence_transformers.models.Pooling.Pooling",
• "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaSelfOutput",
• "torch.float32",
• "torch.nn.modules.sparse.Embedding",
• "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaEncoder",
• "tokenizers.Tokenizer",
• "tokenizers.models.Model",
• "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaLayer",
• "torch._utils._rebuild_tensor_v2",
• "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaEmbeddings",
• "transformers.models.xlm_roberta.tokenization_xlm_roberta_fast.XLMRobertaTokenizerFast",
• "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaPooler"

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