Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use debbiesoon/t5-small-T5_summarise with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use debbiesoon/t5-small-T5_summarise with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("debbiesoon/t5-small-T5_summarise") model = AutoModelForSeq2SeqLM.from_pretrained("debbiesoon/t5-small-T5_summarise", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
7b8eb32
1
Parent(s): 8ac6571
Update README.md
Browse files
README.md
CHANGED
|
@@ -20,7 +20,8 @@ More information needed
|
|
| 20 |
|
| 21 |
## Intended uses & limitations
|
| 22 |
|
| 23 |
-
|
|
|
|
| 24 |
|
| 25 |
## Training and evaluation data
|
| 26 |
|
|
|
|
| 20 |
|
| 21 |
## Intended uses & limitations
|
| 22 |
|
| 23 |
+
max_input_length = 1024
|
| 24 |
+
max_target_length = 128
|
| 25 |
|
| 26 |
## Training and evaluation data
|
| 27 |
|