Instructions to use neuronstarml/samsuntextsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neuronstarml/samsuntextsum 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="neuronstarml/samsuntextsum")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("neuronstarml/samsuntextsum") model = AutoModelForSeq2SeqLM.from_pretrained("neuronstarml/samsuntextsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Verified signatureModel obtained by Fine Tuning 'google/pegasus-cnn_dailymail' using AMI Meeting Corpus, SAMSUM Dataset! ## Usage # Example 1 ```python from transformers import pipeline summarizer = pipeline("summarization", model="neuronstarml/samsuntextsum") text = ''' Input text Input text Input text Input text Input text Input text ''' summarizer(text) ```3152240 -
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