SenticGCNBertEmbeddingModel

class SenticGCNBertEmbeddingModel(config: sgnlp.models.sentic_gcn.config.SenticGCNBertEmbeddingConfig)[source]

The SenticGCN Bert Embedding Model used to generate embeddings for model inputs.

This class inherits from BertModel for weights initalization and utility functions from transformers PreTrainedModel class.

Parameters

config (SenticGCNBertEmbeddingConfig) – Model configuration class with all parameters required for the model. Initializing with a config file does not load the weights associated with the model, only the configuration. Use the from_pretrained method to load the model weights.