Summarization
Transformers
Safetensors
English
bart
text2text-generation
scihigh-2026
research-highlight-generation
scientific-summarization
seq2seq
Instructions to use uthayamurthy/origin-task1-bart-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uthayamurthy/origin-task1-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="uthayamurthy/origin-task1-bart-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uthayamurthy/origin-task1-bart-large") model = AutoModelForSeq2SeqLM.from_pretrained("uthayamurthy/origin-task1-bart-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from uthayamurthy/origin-task1-bart-large: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/uthayamurthy/origin-task1-bart-large/resolve/main/tokenizer.json
- Command line
-
hf download hf://uthayamurthy/origin-task1-bart-large/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/uthayamurthy/origin-task1-bart-large/resolve/main/tokenizer.json
3.56 MB
File too large to display, you can check the raw version instead.