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Fix/sequence truncation #111

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Fix/sequence truncation #111

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2 changes: 1 addition & 1 deletion transformers_interpret/explainer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -121,7 +121,7 @@ def _make_input_reference_pair(self, text: Union[List, str]) -> Tuple[torch.Tens
raise NotImplementedError("Lists of text are not currently supported.")

text_ids = self.encode(text)
input_ids = self.tokenizer.encode(text, add_special_tokens=True)
input_ids = self.tokenizer.encode(text, add_special_tokens=False, truncation=True, max_length=self.tokenizer.model_max_length)

# if no special tokens were added
if len(text_ids) == len(input_ids):
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2 changes: 1 addition & 1 deletion transformers_interpret/explainers/text/sequence_classification.py
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Expand Up @@ -91,7 +91,7 @@ def _get_id2label_and_label2id_dict(
return id2label, label2id

def encode(self, text: str = None) -> list:
return self.tokenizer.encode(text, add_special_tokens=False)
return self.tokenizer.encode(text, add_special_tokens=False, truncation=True, max_length=self.tokenizer.model_max_length)

def decode(self, input_ids: torch.Tensor) -> list:
"Decode 'input_ids' to string using tokenizer"
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