Loading fairseq/models/transformer.py +0 −5 Changes for fairseq/models/transformer.py: 0 added lines, 5 removed lines. Original line number Diff line number Diff line Loading @@ -185,11 +185,6 @@ class TransformerLanguageModel(FairseqLanguageModel): args.max_target_positions = args.tokens_per_sample if args.character_embeddings: if not hasattr(args, 'char_embedder_highway_layers'): args.char_embedder_highway_layers = 0 if not hasattr(args, 'character_filters'): args.character_filters = '[(1, 4), (2, 8), (3, 16), (4, 32), (5, 64)]' embed_tokens = CharacterTokenEmbedder(task.dictionary, eval(args.character_filters), args.character_embedding_dim, args.decoder_embed_dim, Loading Loading
fairseq/models/transformer.py +0 −5 Changes for fairseq/models/transformer.py: 0 added lines, 5 removed lines. Original line number Diff line number Diff line Loading @@ -185,11 +185,6 @@ class TransformerLanguageModel(FairseqLanguageModel): args.max_target_positions = args.tokens_per_sample if args.character_embeddings: if not hasattr(args, 'char_embedder_highway_layers'): args.char_embedder_highway_layers = 0 if not hasattr(args, 'character_filters'): args.character_filters = '[(1, 4), (2, 8), (3, 16), (4, 32), (5, 64)]' embed_tokens = CharacterTokenEmbedder(task.dictionary, eval(args.character_filters), args.character_embedding_dim, args.decoder_embed_dim, Loading