Summarization
Transformers
PyTorch
TensorBoard
Safetensors
English
bart
text2text-generation
Eval Results (legacy)
Instructions to use JustinDu/BARTxiv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JustinDu/BARTxiv 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="JustinDu/BARTxiv")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("JustinDu/BARTxiv") model = AutoModelForSeq2SeqLM.from_pretrained("JustinDu/BARTxiv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Justin Du commited on
Commit ·
535a0ed
1
Parent(s): 7ae37d9
Training in progress, epoch 7
Browse files- pytorch_model.bin +1 -1
- runs/Jan01_16-54-05_DESKTOP-4P0HGA6/events.out.tfevents.1672620845.DESKTOP-4P0HGA6.17448.0 +2 -2
- runs/Jan01_17-08-19_DESKTOP-4P0HGA6/events.out.tfevents.1672621699.DESKTOP-4P0HGA6.29244.0 +3 -0
- runs/Jan01_17-09-02_DESKTOP-4P0HGA6/events.out.tfevents.1672621742.DESKTOP-4P0HGA6.4480.0 +3 -0
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