Summarization
Transformers
PyTorch
TensorFlow
JAX
Rust
Safetensors
English
bart
text2text-generation
Eval Results (legacy)
Instructions to use facebook/bart-large-cnn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/bart-large-cnn 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="facebook/bart-large-cnn")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("facebook/bart-large-cnn") model = AutoModelForSeq2SeqLM.from_pretrained("facebook/bart-large-cnn") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
deb0f97
1
Parent(s): 3d22493
Added ending ticks to format BibTeX Block properly. (#48)
Browse files- Added ending ticks to format BibTeX Block properly. (27adafbaf40a58fc672d9551425ffe756901f0e3)
Co-authored-by: Rutam Mishra <RutamHere@users.noreply.huggingface.co>
README.md
CHANGED
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@@ -114,4 +114,5 @@ print(summarizer(ARTICLE, max_length=130, min_length=30, do_sample=False))
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timestamp = {Thu, 31 Oct 2019 14:02:26 +0100},
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biburl = {https://dblp.org/rec/journals/corr/abs-1910-13461.bib},
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bibsource = {dblp computer science bibliography, https://dblp.org}
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}
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timestamp = {Thu, 31 Oct 2019 14:02:26 +0100},
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biburl = {https://dblp.org/rec/journals/corr/abs-1910-13461.bib},
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bibsource = {dblp computer science bibliography, https://dblp.org}
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}
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```
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