Summarization
Transformers
Safetensors
bart
text2text-generation
title-generation
scientific-text
scihigh-2026
fire-2026
Instructions to use kckrish21/SciHigh2026-Task2-BART-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kckrish21/SciHigh2026-Task2-BART-large 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="kckrish21/SciHigh2026-Task2-BART-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kckrish21/SciHigh2026-Task2-BART-large") model = AutoModelForSeq2SeqLM.from_pretrained("kckrish21/SciHigh2026-Task2-BART-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Fix model card metadata
Browse files
README.md
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library_name: transformers
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base_model: facebook/bart-large
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pipeline_tag:
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tags:
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- bart
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- title-generation
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library_name: transformers
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base_model: facebook/bart-large
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pipeline_tag: summarization
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tags:
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- bart
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- title-generation
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