AurelPx

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hr-conversations-classifier

like 0

• "sentence_transformers.base.modality.InputFormatter",
• "sentence_transformers.sentence_transformer.modules.normalize.Normalize",
• "sentence_transformers.sentence_transformer.modules.pooling.Pooling",
• "transformers.models.bert.modeling_bert.BertPooler",
• "torch.nn.modules.activation.Tanh",
• "sentence_transformers.sentence_transformer.model_card.SentenceTransformerModelCardData",
• "transformers.models.bert.modeling_bert.BertEncoder",
• "transformers.models.bert.tokenization_bert.BertTokenizer",
• "torch._utils._rebuild_parameter_with_state",
• "transformers.models.bert.modeling_bert.BertEmbeddings",
• "tokenizers.models.Model",
• "transformers.models.bert.modeling_bert.BertSelfOutput",
• "torch._utils._rebuild_tensor_v2",
• "transformers.activations.GELUActivation",
• "torch.nn.modules.linear.Linear",
• "transformers.models.bert.modeling_bert.BertModel",
• "torch.nn.modules.dropout.Dropout",
• "transformers.models.bert.configuration_bert.BertConfig",
• "collections.OrderedDict",
• "tokenizers.Tokenizer",
• "tokenizers.AddedToken",
• "transformers.models.bert.modeling_bert.BertLayer",
• "transformers.models.bert.modeling_bert.BertIntermediate",
• "transformers.models.bert.modeling_bert.BertSelfAttention",
• "transformers.models.bert.modeling_bert.BertOutput",
• "torch.nn.modules.normalization.LayerNorm",
• "sentence_transformers.sentence_transformer.model.SentenceTransformer",
• "torch.nn.modules.sparse.Embedding",
• "torch.float32",
• "torch.torch_version.TorchVersion",
• "transformers.models.bert.modeling_bert.BertAttention",
• "sentence_transformers.base.modules.transformer.Transformer",
• "torch.nn.modules.container.ModuleList",
• "torch._C._nn.gelu",
• "torch.storage._load_from_bytes"

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