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")# pip install -U transformers accelerate # 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
Download training_args.bin from kckrish21/SciHigh2026-Task2-BART-large: direct link, hf CLI and curl.
- Browser
- Download file 5.39 kB
-
https://huggingface.co/kckrish21/SciHigh2026-Task2-BART-large/resolve/main/training_args.bin
- Command line
-
hf download hf://kckrish21/SciHigh2026-Task2-BART-large/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kckrish21/SciHigh2026-Task2-BART-large/resolve/main/training_args.bin
5.39 kB
- Xet hash:
- 840c85c8640645fef54367563a255986253238e732244426d1ffdecf79253e3d
- Size of remote file:
- 5.39 kB
- SHA256:
- 726c6a2037175c9e9605792e6eb6ea767981883108703d020d06b62a0a0a5135
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