Instructions to use debbiesoon/bart_large_summarise_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use debbiesoon/bart_large_summarise_v3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("debbiesoon/bart_large_summarise_v3") model = AutoModelForSeq2SeqLM.from_pretrained("debbiesoon/bart_large_summarise_v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
f556069
1
Parent(s): cb3e675
Update README.md
Browse files
README.md
CHANGED
|
@@ -44,7 +44,8 @@ More information needed
|
|
| 44 |
|
| 45 |
## Intended uses & limitations
|
| 46 |
|
| 47 |
-
|
|
|
|
| 48 |
|
| 49 |
## Training and evaluation data
|
| 50 |
|
|
|
|
| 44 |
|
| 45 |
## Intended uses & limitations
|
| 46 |
|
| 47 |
+
encoder_max_length = 1024
|
| 48 |
+
decoder_max_length = 512
|
| 49 |
|
| 50 |
## Training and evaluation data
|
| 51 |
|