damccorm commented on code in PR #38374:
URL: https://github.com/apache/beam/pull/38374#discussion_r3241635229
##########
sdks/python/apache_beam/examples/inference/pytorch_sentiment.py:
##########
@@ -62,16 +59,34 @@ def process(self, element: tuple[str, PredictionResult]) ->
Iterable[dict]:
}
-def tokenize_text(text: str,
- tokenizer: DistilBertTokenizerFast) -> tuple[str, dict]:
- """Tokenizes input text using the specified tokenizer."""
- tokenized = tokenizer(
- text,
- padding='max_length',
- truncation=True,
- max_length=128,
- return_tensors="pt")
- return text, {k: torch.squeeze(v) for k, v in tokenized.items()}
+class TokenizeTextDoFn(beam.DoFn):
Review Comment:
Could you update the pr description to contain all changes in this PR?
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