Summarization
Transformers
Safetensors
English
t5
text2text-generation
NLP
text-generation-inference
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
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license: apache-2.0
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tags:
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- NLP
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pipeline_tag:
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widget:
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- text: ' Moderator: Welcome, everyone, to this exciting panel discussion. Today,
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we have Elon Musk and Sam Altman, two of the most influential figures in the tech
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license: apache-2.0
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tags:
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- NLP
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pipeline_tag: topic_change
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widget:
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- text: ' Moderator: Welcome, everyone, to this exciting panel discussion. Today,
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we have Elon Musk and Sam Altman, two of the most influential figures in the tech
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