Update README.md
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README.md
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@@ -46,7 +46,7 @@ class GLiClassOnnxInference:
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return np.array([ids], dtype=np.int64), np.array([mask], dtype=np.int64)
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def onnx_predict(self, text: str, labels: list[str]):
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full_text =
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ids, mask = self.encode(full_text, max_length=512)
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ort_inputs = {"input_ids": ids, "attention_mask": mask}
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return np.array([ids], dtype=np.int64), np.array([mask], dtype=np.int64)
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def onnx_predict(self, text: str, labels: list[str]):
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full_text = "".join([f"<<LABEL>>{l}" for l in labels]) + "<<SEP>>" + text
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ids, mask = self.encode(full_text, max_length=512)
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ort_inputs = {"input_ids": ids, "attention_mask": mask}
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