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Falconsai
/
topic_change_point

Summarization
Transformers
Safetensors
English
t5
text2text-generation
NLP
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use Falconsai/topic_change_point with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Falconsai/topic_change_point with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "summarization" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # 'pip install "transformers<5.0.0'
    from transformers import pipeline
    
    pipe = pipeline("summarization", model="Falconsai/topic_change_point")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Falconsai/topic_change_point")
    model = AutoModelForSeq2SeqLM.from_pretrained("Falconsai/topic_change_point")
  • Notebooks
  • Google Colab
  • Kaggle
topic_change_point
245 MB
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  • 2 contributors
History: 7 commits
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mstatt
Upload T5ForConditionalGeneration
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  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
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  • config.json
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  • generation_config.json
    251 Bytes
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  • model.safetensors
    242 MB
    xet
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  • special_tokens_map.json
    2.54 kB
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  • tokenizer.json
    2.42 MB
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  • tokenizer_config.json
    20.9 kB
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