ukr-models

/

uk-ner-quantized

like 1

• "torch.LongStorage",
• "transformers.models.roberta.modeling_roberta.RobertaAttention",
• "transformers.activations.GELUActivation",
• "transformers.models.roberta.modeling_roberta.RobertaSelfAttention",
• "transformers.models.roberta.modeling_roberta.RobertaModel",
• "torch.nn.modules.container.ModuleList",
• "transformers.models.roberta.modeling_roberta.RobertaEncoder",
• "transformers.models.roberta.modeling_roberta.RobertaEmbeddings",
• "torch._C._nn.gelu",
• "torch.qint8",
• "torch.nn.modules.dropout.Dropout",
• "transformers.models.roberta.modeling_roberta.RobertaLayer",
• "collections.OrderedDict",
• "torch.nn.quantized.dynamic.modules.linear.Linear",
• "torch._utils._rebuild_qtensor",
• "transformers.models.roberta.modeling_roberta.RobertaSelfOutput",
• "torch.nn.quantized.modules.linear.LinearPackedParams",
• "torch.per_tensor_affine",
• "torch.QInt8Storage",
• "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaForTokenClassification",
• "torch.float32",
• "torch._utils._rebuild_parameter",
• "__builtin__.set",
• "torch.nn.modules.sparse.Embedding",
• "torch._utils._rebuild_tensor_v2",
• "transformers.models.xlm_roberta.configuration_xlm_roberta.XLMRobertaConfig",
• "transformers.models.roberta.modeling_roberta.RobertaIntermediate",
• "torch.FloatStorage",
• "transformers.models.roberta.modeling_roberta.RobertaOutput",
• "torch.nn.modules.normalization.LayerNorm"

How to fix it?