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")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("JustinDu/BARTxiv") model = AutoModelForSeq2SeqLM.from_pretrained("JustinDu/BARTxiv") - Notebooks
- Google Colab
- Kaggle
Justin Du commited on
Commit ·
a3253ec
1
Parent(s): dc70465
update model card
Browse files
README.md
CHANGED
|
@@ -12,12 +12,12 @@ model-index:
|
|
| 12 |
- task:
|
| 13 |
type: summarization
|
| 14 |
dataset:
|
| 15 |
-
name:
|
| 16 |
type: ccdv/arxiv-summarization
|
| 17 |
split: validation
|
| 18 |
metrics:
|
| 19 |
- type: rouge1
|
| 20 |
-
value:
|
| 21 |
---
|
| 22 |
|
| 23 |
# Model Card for Model ID
|
|
|
|
| 12 |
- task:
|
| 13 |
type: summarization
|
| 14 |
dataset:
|
| 15 |
+
name: arxiv-summarization
|
| 16 |
type: ccdv/arxiv-summarization
|
| 17 |
split: validation
|
| 18 |
metrics:
|
| 19 |
- type: rouge1
|
| 20 |
+
value: 31.80386798031258
|
| 21 |
---
|
| 22 |
|
| 23 |
# Model Card for Model ID
|