Datasets:

---

Gkop

/

healthpredict-assets

like 0

• "transformers.models.camembert.modeling_camembert.CamembertEmbeddings",
• "torch.float32",
• "torch.nn.modules.normalization.LayerNorm",
• "transformers.models.camembert.modeling_camembert.CamembertEncoder",
• "transformers.models.camembert.modeling_camembert.CamembertOutput",
• "collections.OrderedDict",
• "transformers.models.camembert.modeling_camembert.CamembertModel",
• "transformers.models.camembert.modeling_camembert.CamembertLayer",
• "transformers.models.camembert.modeling_camembert.CamembertIntermediate",
• "torch.storage._load_from_bytes",
• "torch._utils._rebuild_tensor_v2",
• "transformers.models.camembert.modeling_camembert.CamembertSelfOutput",
• "transformers.models.camembert.configuration_camembert.CamembertConfig",
• "transformers.models.camembert.modeling_camembert.CamembertAttention",
• "transformers.models.camembert.modeling_camembert.CamembertSdpaSelfAttention",
• "sklearn.linear_model._logistic.LogisticRegression",
• "transformers.activations.GELUActivation",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "transformers.tokenization_utils.Trie",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.activation.Tanh",
• "numpy.dtype",
• "torch.nn.modules.sparse.Embedding",
• "numpy.ndarray",
• "torch.nn.modules.dropout.Dropout",
• "transformers.models.camembert.tokenization_camembert.CamembertTokenizer",
• "torch._C._nn.gelu",
• "tokenizers.AddedToken",
• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.container.ModuleList",
• "transformers.models.camembert.modeling_camembert.CamembertPooler"

How to fix it?

• "joblib.numpy_pickle.NumpyArrayWrapper",
• "numpy.float64",
• "numpy.dtype",
• "numpy.ndarray",
• "sklearn.pipeline.Pipeline",
• "sklearn.feature_extraction.text.TfidfVectorizer",
• "sklearn.feature_extraction.text.TfidfTransformer"

How to fix it?