Summarization
Transformers
PyTorch
Safetensors
English
bart
text2text-generation
Generated from Trainer
Instructions to use EasyTerms/etsummerizer_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EasyTerms/etsummerizer_v2 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="EasyTerms/etsummerizer_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("EasyTerms/etsummerizer_v2") model = AutoModelForSeq2SeqLM.from_pretrained("EasyTerms/etsummerizer_v2") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#2
by librarian-bot - opened
README.md
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- generated_from_trainer
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metrics:
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- rouge
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model-index:
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- name: etsummerizer_v2
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results: []
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- generated_from_trainer
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metrics:
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- rouge
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base_model: sshleifer/distilbart-cnn-12-6
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model-index:
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- name: etsummerizer_v2
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results: []
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