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ML2TransformerApp

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Runtime error

• "model.Transformer",
• "torch.nn.modules.transformer.Transformer",
• "torch.nn.modules.dropout.Dropout",
• "torch.distributed._sharded_tensor.state_dict_hook",
• "functools.partial",
• "torch.nn.modules.transformer.TransformerEncoderLayer",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.container.ModuleList",
• "torch._utils._rebuild_tensor_v2",
• "torch.device",
• "pytorch_lightning.utilities.parsing.AttributeDict",
• "torch.nn.modules.activation.MultiheadAttention",
• "torch.nn.functional.relu",
• "einops.einops.TransformRecipe",
• "torch.nn.modules.transformer.TransformerDecoderLayer",
• "__builtin__.set",
• "model.TexEmbedding",
• "torch.FloatStorage",
• "model.AddPositionalEncoding",
• "torch.nn.modules.sparse.Embedding",
• "collections.OrderedDict",
• "model.ImageEmbedding",
• "torch.float32",
• "torch.nn.modules.transformer.TransformerEncoder",
• "einops.layers.torch.Rearrange",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.transformer.TransformerDecoder",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "torch.distributed._sharded_tensor.pre_load_state_dict_hook",
• "torch.nn.modules.loss.CrossEntropyLoss"

How to fix it?

• "_codecs.encode",
• "tokenizers.models.Model",
• "tokenizers.Tokenizer"

How to fix it?