Instructions to use rooftopcoder/tst-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rooftopcoder/tst-summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rooftopcoder/tst-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("rooftopcoder/tst-summarization") - Notebooks
- Google Colab
- Kaggle
Commit ·
a5117a3
1
Parent(s): 0a5e5f8
Librarian Bot: Add base_model information to model (#1)
Browse files- Librarian Bot: Add base_model information to model (a0796b2f4a798d6a0e45c11b09b18e916bc4f4ae)
Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>
README.md
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: tst-summarization
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results: []
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license: apache-2.0
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tags:
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- generated_from_trainer
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base_model: facebook/bart-base
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model-index:
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- name: tst-summarization
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results: []
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