Aviv

/

Moran_Aviv_Bart

like 1

• "blurr.text.data.seq2seq.core.Seq2SeqBatchTokenizeTransform",
• "functools.partial",
• "torch.nn.modules.container.ModuleList",
• "fastai.data.load._FakeLoader",
• "fastai.data.transforms.ToTensor",
• "collections.OrderedDict",
• "tokenizers.models.Model",
• "torch._C._nn.gelu",
• "torch._utils._rebuild_parameter",
• "__builtin__.set",
• "fastai.callback.core.TrainEvalCallback",
• "fastai.learner.AvgLoss",
• "__builtin__.dict",
• "fastai.text.data.SortedDL",
• "fastai.data.load._wif",
• "fastai.data.core.DataLoaders",
• "transformers.activations.GELUActivation",
• "fastai.torch_core._rebuild_from_type",
• "__builtin__.getattr",
• "__builtin__.print",
• "random.Random",
• "transformers.models.bart.modeling_bart.BartLearnedPositionalEmbedding",
• "blurr.text.modeling.seq2seq.core.blurr_seq2seq_splitter",
• "torch.nn.modules.loss.CrossEntropyLoss",
• "fastai.learner.Learner",
• "torch._utils._rebuild_tensor_v2",
• "fastai.data.core.Datasets",
• "transformers.models.bart.modeling_bart.BartModel",
• "fastai.data.core.TfmdLists",
• "transformers.models.bart.modeling_bart.BartForConditionalGeneration",
• "transformers.models.bart.modeling_bart.BartDecoderLayer",
• "fastcore.foundation.L",
• "fastcore.transform.Pipeline",
• "__builtin__.unicode",
• "fastai.losses.CrossEntropyLossFlat",
• "fastai.optimizer.ranger",
• "fastai.text.data._default_sort",
• "__builtin__.float",
• "transformers.models.bart.modeling_bart.BartEncoderLayer",
• "blurr.text.data.seq2seq.core.Seq2SeqTextInput",
• "fastai.data.transforms.ColReader",
• "fastai.learner.AvgSmoothLoss",
• "fastai.callback.fp16.MixedPrecision",
• "blurr.text.data.seq2seq.core.Seq2SeqBatchDecodeTransform",
• "pathlib.PosixPath",
• "blurr.text.modeling.core.BaseModelWrapper",
• "torch.FloatStorage",
• "fastai.learner.Recorder",
• "tokenizers.AddedToken",
• "torch.Tensor",
• "transformers.models.bart.configuration_bart.BartConfig",
• "transformers.models.bart.tokenization_bart_fast.BartTokenizerFast",
• "blurr.text.modeling.core.BaseModelCallback",
• "transformers.models.bart.modeling_bart.BartEncoder",
• "torch.device",
• "numpy.core.multiarray.scalar",
• "pandas.core.series.Series",
• "__builtin__.long",
• "_codecs.encode",
• "fastai.callback.progress.ProgressCallback",
• "torch.nn.modules.normalization.LayerNorm",
• "fastai.torch_core.TensorBase",
• "tokenizers.Tokenizer",
• "__builtin__.tuple",
• "transformers.models.bart.modeling_bart.BartAttention",
• "torch.nn.modules.linear.Linear",
• "transformers.models.bart.modeling_bart.BartDecoder",
• "torch.nn.modules.sparse.Embedding",
• "numpy.dtype"

How to fix it?

• "transformers.models.bart.modeling_bart.BartModel",
• "fastai.callback.progress.ProgressCallback",
• "transformers.models.bart.modeling_bart.BartLearnedPositionalEmbedding",
• "numpy.dtype",
• "fastai.callback.core.TrainEvalCallback",
• "pandas.core.series.Series",
• "collections.OrderedDict",
• "builtins.print",
• "builtins.str",
• "transformers.models.bart.modeling_bart.BartDecoder",
• "tokenizers.Tokenizer",
• "random.Random",
• "transformers.activations.GELUActivation",
• "fastcore.transform.Pipeline",
• "fastai.text.data._default_sort",
• "fastai.data.load._FakeLoader",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.loss.CrossEntropyLoss",
• "torch._utils._rebuild_parameter",
• "tokenizers.models.Model",
• "torch.FloatStorage",
• "blurr.text.data.seq2seq.core.Seq2SeqTextInput",
• "pathlib.PosixPath",
• "torch.nn.modules.linear.Linear",
• "functools.partial",
• "blurr.text.data.seq2seq.core.Seq2SeqBatchDecodeTransform",
• "fastcore.foundation.L",
• "builtins.dict",
• "builtins.set",
• "fastai.learner.AvgLoss",
• "fastai.callback.fp16.MixedPrecision",
• "torch._utils._rebuild_tensor_v2",
• "fastai.data.core.TfmdLists",
• "builtins.float",
• "fastai.optimizer.ranger",
• "blurr.text.modeling.seq2seq.core.blurr_seq2seq_splitter",
• "transformers.models.bart.modeling_bart.BartAttention",
• "torch.nn.modules.normalization.LayerNorm",
• "transformers.models.bart.modeling_bart.BartDecoderLayer",
• "fastai.losses.CrossEntropyLossFlat",
• "fastai.learner.Learner",
• "transformers.models.bart.modeling_bart.BartEncoderLayer",
• "builtins.tuple",
• "fastai.learner.AvgSmoothLoss",
• "fastai.data.load._wif",
• "fastai.learner.Recorder",
• "torch.nn.modules.sparse.Embedding",
• "transformers.models.bart.modeling_bart.BartForConditionalGeneration",
• "tokenizers.AddedToken",
• "fastai.data.core.DataLoaders",
• "transformers.models.bart.configuration_bart.BartConfig",
• "torch._C._nn.gelu",
• "builtins.getattr",
• "fastai.torch_core.TensorBase",
• "fastai.text.data.SortedDL",
• "blurr.text.modeling.core.BaseModelCallback",
• "fastai.data.core.Datasets",
• "fastai.data.transforms.ColReader",
• "blurr.text.data.seq2seq.core.Seq2SeqBatchTokenizeTransform",
• "numpy.core.multiarray.scalar",
• "fastai.torch_core._rebuild_from_type",
• "torch.device",
• "fastai.data.transforms.ToTensor",
• "transformers.models.bart.modeling_bart.BartEncoder",
• "transformers.models.bart.tokenization_bart_fast.BartTokenizerFast",
• "builtins.int",
• "blurr.text.modeling.core.BaseModelWrapper",
• "torch.Tensor"

How to fix it?