Summarization
Transformers
PyTorch
English
bart
text2text-generation
sagemaker
Eval Results (legacy)
Instructions to use philschmid/bart-large-cnn-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use philschmid/bart-large-cnn-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="philschmid/bart-large-cnn-samsum")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("philschmid/bart-large-cnn-samsum") model = AutoModelForSeq2SeqLM.from_pretrained("philschmid/bart-large-cnn-samsum") - Inference
- Notebooks
- Google Colab
- Kaggle
Add evaluation results on the 3.0.0 config and test split of cnn_dailymail
#18 opened over 2 years ago
by
autoevaluator
Add evaluation results on the 3.0.0 config and test split of cnn_dailymail
#17 opened over 2 years ago
by
autoevaluator
Update README.md
#15 opened about 3 years ago
by
sonylomo
Adding `safetensors` variant of this model
#13 opened about 3 years ago
by
SFconvertbot
index out of range in self
2
#12 opened over 3 years ago
by
andrewyang17
Calling via Sagemaker end point
#11 opened over 3 years ago
by
brew42
This model giving different inferences on different platforms (like. local, google colab, UiPath AI Center)
#9 opened over 3 years ago
by
anuvrat29
Truncated output
4
#8 opened over 3 years ago
by
datha29
License for this model
👍 1
1
#7 opened over 3 years ago
by
kaushalshetty
Is it possible to give the result in the first person and not in the third?
1
#6 opened over 3 years ago
by
Lisstrange
Loading model via local config file
2
#5 opened almost 4 years ago
by
dparmar16
Fix typos in ROUGE metrics
#4 opened almost 4 years ago
by
lewtun