Text-Classification Pipeline - Newbie question

dkleine · August 22, 2025, 7:51pm

Hi Markus,

“sentiment-analysis” is the task specifying what you want a large language model to perform on the text. Sentiment analysis practically changes the model’s head to a classifier, which you can see here:

github.com/huggingface/transformers

src/transformers/pipelines/init.py

7d88f57fc


      
          TASK_ALIASES = {
              "sentiment-analysis": "text-classification",
              "ner": "token-classification",
              "vqa": "visual-question-answering",
              "text-to-speech": "text-to-audio",
          }

This pipeline is pre-configured, the settings can be found below in the same file defined here:

github.com/huggingface/transformers

src/transformers/pipelines/init.py

7d88f57fc


      
          },
          "text-classification": {
              "impl": TextClassificationPipeline,
              "tf": (TFAutoModelForSequenceClassification,) if is_tf_available() else (),
              "pt": (AutoModelForSequenceClassification,) if is_torch_available() else (),
              "default": {
                  "model": {
                      "pt": ("distilbert/distilbert-base-uncased-finetuned-sst-2-english", "714eb0f"),
                      "tf": ("distilbert/distilbert-base-uncased-finetuned-sst-2-english", "714eb0f"),
                  },
              },
              "type": "text",
          },

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Text-Classification Pipeline - Newbie question

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