Summarization
Transformers
PyTorch
TensorBoard
bart
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use sunsvrv/bart-base-facebook with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sunsvrv/bart-base-facebook 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="sunsvrv/bart-base-facebook")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sunsvrv/bart-base-facebook") model = AutoModelForSeq2SeqLM.from_pretrained("sunsvrv/bart-base-facebook") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Oct09_16-22-31_45d0aacbd9c4
- Oct09_16-40-05_45d0aacbd9c4
- Oct09_16-41-08_45d0aacbd9c4
- Oct09_16-42-07_45d0aacbd9c4
- Oct09_16-43-08_45d0aacbd9c4
- Oct09_16-47-03_45d0aacbd9c4
- Oct09_18-24-14_45d0aacbd9c4
- Oct09_18-59-29_45d0aacbd9c4
- Oct09_20-47-18_45d0aacbd9c4
- Oct10_12-55-43_98ddba73f945
- Oct10_17-38-36_365704bcb3c8