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Removing one of the twice defined position_embeddings in LongFormer #23343

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May 15, 2023
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Removing one of the twice defined position_embeddings in LongFormer #23343

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1 change: 0 additions & 1 deletion src/transformers/models/longformer/modeling_longformer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -438,7 +438,6 @@ class LongformerEmbeddings(nn.Module):
def __init__(self, config):
super().__init__()
self.word_embeddings = nn.Embedding(config.vocab_size, config.hidden_size, padding_idx=config.pad_token_id)
self.position_embeddings = nn.Embedding(config.max_position_embeddings, config.hidden_size)
self.token_type_embeddings = nn.Embedding(config.type_vocab_size, config.hidden_size)

# self.LayerNorm is not snake-cased to stick with TensorFlow model variable name and be able to load
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