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20 changes: 11 additions & 9 deletions sentence_transformers/models/Transformer.py
Original file line number Diff line number Diff line change
Expand Up @@ -88,16 +88,18 @@ def __init__(
**tokenizer_args,
)

# No max_seq_length set. Try to infer from model
max_seq_options = []
if max_seq_length is None:
if (
hasattr(self.auto_model, "config")
and hasattr(self.auto_model.config, "max_position_embeddings")
and hasattr(self.tokenizer, "model_max_length")
):
max_seq_length = min(self.auto_model.config.max_position_embeddings, self.tokenizer.model_max_length)

self.max_seq_length = max_seq_length
max_seq_options.append(max_seq_length)
if (
hasattr(self.auto_model, "config")
and hasattr(self.auto_model.config, "max_position_embeddings")
):
max_seq_options.append(self.auto_model.config.max_position_embeddings)
if hasattr(self.tokenizer, "model_max_length"):
max_seq_options.append(self.tokenizer.model_max_length)

self.max_seq_length = min(max_seq_options)

if tokenizer_name_or_path is not None:
self.auto_model.config.tokenizer_class = self.tokenizer.__class__.__name__
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