Instructions to use debbiesoon/bart_large_summarise with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use debbiesoon/bart_large_summarise with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("debbiesoon/bart_large_summarise") model = AutoModelForSeq2SeqLM.from_pretrained("debbiesoon/bart_large_summarise", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
f68cc96
1
Parent(s): 263e39f
Update README.md
Browse files
README.md
CHANGED
|
@@ -29,7 +29,9 @@ More information needed
|
|
| 29 |
|
| 30 |
## Intended uses & limitations
|
| 31 |
|
| 32 |
-
|
|
|
|
|
|
|
| 33 |
|
| 34 |
## Training and evaluation data
|
| 35 |
|
|
|
|
| 29 |
|
| 30 |
## Intended uses & limitations
|
| 31 |
|
| 32 |
+
encoder_max_length = 1024
|
| 33 |
+
|
| 34 |
+
decoder_max_length = 512
|
| 35 |
|
| 36 |
## Training and evaluation data
|
| 37 |
|