Summarization
Transformers
PyTorch
TensorBoard
English
bart
text2text-generation
Generated from Trainer
Instructions to use Quake24/easyTermsSummerizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Quake24/easyTermsSummerizer 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="Quake24/easyTermsSummerizer")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Quake24/easyTermsSummerizer") model = AutoModelForSeq2SeqLM.from_pretrained("Quake24/easyTermsSummerizer") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
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model-index:
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- name: easyTermsSummerizer
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 4.27.3
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- Pytorch 1.13.0
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- Datasets 2.1.0
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- Tokenizers 0.13.2
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model-index:
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- name: easyTermsSummerizer
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results: []
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datasets:
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- Quake24/paraphrasedPayPal
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- Quake24/paraphrasedTwitter
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language:
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- en
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library_name: transformers
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 4.27.3
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- Pytorch 1.13.0
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- Datasets 2.1.0
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- Tokenizers 0.13.2
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