hugginglearners

/

ml-news-classify-fastai

like 1

Follow

fastai X Hugging Face Group 2022 244

• "transformers.models.xlm_roberta.configuration_xlm_roberta.XLMRobertaConfig",
• "builtins.tuple",
• "fastcore.dispatch.TypeDispatch",
• "transformers.models.roberta.modeling_roberta.RobertaLayer",
• "torch.nn.modules.loss.BCEWithLogitsLoss",
• "torch._utils._rebuild_parameter",
• "fastcore.transform.Transform",
• "fastai.data.load._wif",
• "torch.FloatStorage",
• "torch.LongStorage",
• "blurr.text.modeling.core.BlearnerForSequenceClassification",
• "transformers.models.roberta.modeling_roberta.RobertaSelfOutput",
• "fastai.learner.AvgSmoothLoss",
• "builtins.print",
• "fastai.data.transforms.ToTensor",
• "fastai.text.data.SortedDL",
• "random.Random",
• "blurr.text.modeling.core.BaseModelCallback",
• "builtins.list",
• "blurr.text.modeling.core.blurr_splitter",
• "blurr.utils.PreCalculatedBCELoss",
• "transformers.models.roberta.modeling_roberta.RobertaAttention",
• "fastai.torch_core._rebuild_from_type",
• "builtins.set",
• "transformers.models.xlm_roberta.modeling_xlm_roberta.XLMRobertaForSequenceClassification",
• "fastcore.transform.Pipeline",
• "fastai.data.transforms.EncodedMultiCategorize",
• "collections.OrderedDict",
• "tokenizers.Tokenizer",
• "fastai.text.data._default_sort",
• "functools.partial",
• "fastai.metrics.accuracy_multi",
• "tokenizers.models.Model",
• "transformers.models.roberta.modeling_roberta.RobertaOutput",
• "fastai.data.transforms.CategoryMap",
• "fastcore.foundation.L",
• "builtins.str",
• "fastai.data.transforms.MultiCategory",
• "builtins.dict",
• "torch.nn.modules.sparse.Embedding",
• "torch.nn.modules.linear.Linear",
• "numpy.core.multiarray.scalar",
• "blurr.text.data.core.TextInput",
• "fastai.optimizer.Adam",
• "transformers.activations.GELUActivation",
• "fastai.callback.core.TrainEvalCallback",
• "fastcore.dispatch._TypeDict",
• "transformers.models.roberta.modeling_roberta.RobertaIntermediate",
• "blurr.text.data.core.BatchDecodeTransform",
• "sklearn.metrics._classification.f1_score",
• "fastai.learner.AvgLoss",
• "torch.nn.modules.container.ModuleList",
• "tokenizers.AddedToken",
• "fastai.learner.Recorder",
• "transformers.models.roberta.modeling_roberta.RobertaClassificationHead",
• "transformers.models.roberta.modeling_roberta.RobertaSelfAttention",
• "transformers.models.roberta.modeling_roberta.RobertaEncoder",
• "torch.device",
• "numpy.dtype",
• "fastai.callback.progress.ProgressCallback",
• "builtins.getattr",
• "fastai.data.core.TfmdLists",
• "fastai.data.load._FakeLoader",
• "torch._utils._rebuild_tensor_v2",
• "fastai.metrics.AccumMetric",
• "torch.nn.modules.dropout.Dropout",
• "fastai.data.core.DataLoaders",
• "fastai.torch_core.TensorMultiCategory",
• "builtins.object",
• "blurr.text.data.core.BatchTokenizeTransform",
• "torch._C._nn.gelu",
• "blurr.text.modeling.core.BaseModelWrapper",
• "torch.nn.modules.normalization.LayerNorm",
• "pandas.core.series.Series",
• "pathlib.PosixPath",
• "fastai.data.core.Datasets",
• "transformers.models.roberta.modeling_roberta.RobertaEmbeddings",
• "transformers.models.roberta.modeling_roberta.RobertaModel",
• "transformers.models.xlm_roberta.tokenization_xlm_roberta_fast.XLMRobertaTokenizerFast",
• "fastai.learner.AvgMetric"

How to fix it?