dattu145

/

MeaningForEach

like 0

• "torch.nn.modules.sparse.Embedding",
• "spacy.pipeline.attributeruler.attribute_ruler_score",
• "spacy.pipeline.tagger.Tagger",
• "transformers.models.bert.configuration_bert.BertConfig",
• "numpy.dtype",
• "thinc.model.empty_init",
• "thinc.backends._param_server.ParamServer",
• "thinc.layers.hashembed.forward",
• "spacy.pipeline.senter.SentenceRecognizer",
• "spacy.lookups.Table",
• "tokenizers.AddedToken",
• "thinc.layers.dropout.forward",
• "collections.Counter",
• "spacy.ml.featureextractor.forward",
• "thinc.layers.linear.forward",
• "spacy.ml.models.parser.resize_output",
• "thinc.layers.list2ragged.forward",
• "pathlib.PosixPath",
• "spacy.pipeline.pipe.__pyx_unpickle_Pipe",
• "transformers.models.bert.tokenization_bert.BertTokenizer",
• "transformers.models.bert.tokenization_bert.BasicTokenizer",
• "torch._utils._rebuild_parameter",
• "thinc.layers.ragged2list.forward",
• "functools.partial",
• "thinc.layers.layernorm.forward",
• "thinc.layers.hashembed.init",
• "__main__.get_difficult_words",
• "spacy.util.raise_error",
• "spacy.pipeline.tok2vec.Tok2VecListener",
• "spacy.lang.en.English",
• "torch.nn.modules.activation.Tanh",
• "__main__.get_contextual_difficult_words",
• "thinc.layers.linear.init",
• "thinc.layers.list2array.forward",
• "spacy.matcher.levenshtein.levenshtein_compare",
• "re._compile",
• "spacy.tokenizer.Tokenizer",
• "thinc.layers.chain.forward",
• "thinc.layers.expand_window.forward",
• "spacy.util.SimpleFrozenDict",
• "thinc.backends.numpy_ops.NumpyOps",
• "thinc.layers.maxout.forward",
• "transformers.models.bert.modeling_bert.BertIntermediate",
• "thinc.layers.layernorm.init",
• "torch._C._nn.gelu",
• "collections.OrderedDict",
• "builtins.getattr",
• "spacy.language.FactoryMeta",
• "spacy.lang.en.lemmatizer.EnglishLemmatizer",
• "numpy.ndarray",
• "spacy.pipeline.ner.__pyx_unpickle_EntityRecognizer",
• "thinc.layers.with_array.forward",
• "spacy.pipeline.tok2vec.Tok2Vec",
• "spacy.pipeline.senter.senter_score",
• "torch.nn.modules.container.ModuleList",
• "spacy.pipeline.lemmatizer.lemmatizer_score",
• "transformers.models.bert.modeling_bert.BertAttention",
• "spacy.vectors.unpickle_vectors",
• "__main__.get_word_definition",
• "torch.nn.modules.normalization.LayerNorm",
• "thinc.layers.chain.init",
• "spacy.util.SimpleFrozenList",
• "transformers.models.bert.modeling_bert.BertSdpaSelfAttention",
• "thinc.layers.residual.forward",
• "spacy.pipeline.ner.ner_score",
• "thinc.layers.maxout.init",
• "spacy.lang.en.syntax_iterators.noun_chunks",
• "spacy.pipeline.tok2vec.forward",
• "preshed.bloom.unpickle_bloom",
• "spacy.matcher.matcher.unpickle_matcher",
• "spacy.vocab.unpickle_vocab",
• "transformers.models.bert.modeling_bert.BertModel",
• "spacy.morphology.unpickle_morphology",
• "spacy.pipeline.tagger.tagger_score",
• "thinc.layers.with_array.init",
• "spacy.pipeline.ner.EntityRecognizer",
• "thinc.layers.concatenate.forward",
• "transformers.models.bert.modeling_bert.BertPooler",
• "transformers.models.bert.modeling_bert.BertEncoder",
• "spacy.pipeline.trainable_pipe.__pyx_unpickle_TrainablePipe",
• "thinc.model.Model",
• "spacy.ml._precomputable_affine.forward",
• "spacy.pipeline._parser_internals.arc_eager.ArcEager",
• "torch.storage._load_from_bytes",
• "spacy.pipeline.dep_parser.parser_score",
• "thinc.layers.softmax.forward",
• "spacy.pipeline._parser_internals.ner.BiluoPushDown",
• "spacy.ml.tb_framework.forward",
• "thinc.layers.residual.init",
• "spacy.pipeline.dep_parser.__pyx_unpickle_DependencyParser",
• "spacy.pipeline.attributeruler.AttributeRuler",
• "torch._utils._rebuild_tensor_v2",
• "spacy.strings.StringStore",
• "builtins.slice",
• "transformers.models.bert.modeling_bert.BertSelfOutput",
• "transformers.activations.GELUActivation",
• "transformers.models.bert.modeling_bert.BertLayer",
• "transformers.models.bert.modeling_bert.BertEmbeddings",
• "thinc.layers.array_getitem.forward",
• "transformers.tokenization_utils.Trie",
• "thinc.initializers.zero_init",
• "thinc.initializers.uniform_init",
• "numpy.core.multiarray._reconstruct",
• "torch.nn.modules.dropout.Dropout",
• "__main__.get_word_embedding",
• "thinc.layers.concatenate.init",
• "torch.nn.modules.linear.Linear",
• "confection.Config",
• "thinc.initializers.glorot_uniform_init",
• "transformers.models.bert.modeling_bert.BertOutput",
• "spacy.ml._precomputable_affine.init",
• "spacy.lookups.Lookups",
• "spacy.pipeline.dep_parser.DependencyParser",
• "__main__.is_difficult",
• "thinc.layers.softmax.init",
• "spacy.ml.tb_framework.init",
• "transformers.models.bert.tokenization_bert.WordpieceTokenizer"

How to fix it?