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")# pip install -U transformers accelerate # 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
File size: 293 Bytes
2ad90c6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"bos_token_id": 0,
"decoder_start_token_id": 2,
"early_stopping": true,
"eos_token_id": [
2
],
"forced_bos_token_id": 0,
"forced_eos_token_id": 2,
"max_length": 128,
"no_repeat_ngram_size": 3,
"num_beams": 4,
"pad_token_id": 1,
"transformers_version": "4.57.6"
}
|