Instructions to use knkarthick/bart-large-xsum-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use knkarthick/bart-large-xsum-samsum 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="knkarthick/bart-large-xsum-samsum")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("knkarthick/bart-large-xsum-samsum") model = AutoModelForSeq2SeqLM.from_pretrained("knkarthick/bart-large-xsum-samsum") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#5 opened about 3 years ago
by
SFconvertbot
Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator
#4 opened over 3 years ago
by
autoevaluator
Add evaluation results on samsum dataset
#1 opened almost 4 years ago
by
autoevaluator