Transformers
PyTorch
TensorFlow
ONNX
Safetensors
English
t5
text2text-generation
summary
summarizer
Eval Results (legacy)
text-generation-inference
Instructions to use shorecode/t5-efficient-tiny-summarizer-general-purpose-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shorecode/t5-efficient-tiny-summarizer-general-purpose-v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("shorecode/t5-efficient-tiny-summarizer-general-purpose-v2") model = AutoModelForSeq2SeqLM.from_pretrained("shorecode/t5-efficient-tiny-summarizer-general-purpose-v2") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -17,6 +17,7 @@ widget:
|
|
| 17 |
metrics:
|
| 18 |
- f1
|
| 19 |
- rouge
|
|
|
|
| 20 |
model-index:
|
| 21 |
- name: t5-efficient-tiny-summarizer-general-purpose-v2
|
| 22 |
results:
|
|
|
|
| 17 |
metrics:
|
| 18 |
- f1
|
| 19 |
- rouge
|
| 20 |
+
- extractivness
|
| 21 |
model-index:
|
| 22 |
- name: t5-efficient-tiny-summarizer-general-purpose-v2
|
| 23 |
results:
|