Instructions to use Waynehillsdev/Waynehills_summary_tensorflow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Waynehillsdev/Waynehills_summary_tensorflow with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Waynehillsdev/Waynehills_summary_tensorflow") model = AutoModelForSeq2SeqLM.from_pretrained("Waynehillsdev/Waynehills_summary_tensorflow") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
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by librarian-bot - opened
README.md
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---
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tags:
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- generated_from_keras_callback
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model-index:
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- name: Waynehills_summary_tensorflow
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results: []
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---
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tags:
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- generated_from_keras_callback
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base_model: KETI-AIR/ke-t5-base-ko
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model-index:
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- name: Waynehills_summary_tensorflow
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results: []
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