Initialize the pipeline with the "text-davinci-002" model
segmenter = pipeline("text-segmentation", model="text-davinci-002", tokenizer='text-davinci-002')
Segment the text
segmented_text = segmenter("This is a longer text that we want to segment into smaller chunks. Each chunk should correspond to a coherent piece of text.")
Process each segment with ChatGPT
nlp = pipeline("text-generation", model="text-davinci-002", tokenizer='text-davinci-002') for segment in segmented_text: print(nlp(segment))
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
🙋
Ask for provider support
HF Inference deployability: The model has no library tag.