Instructions to use lennartschaeffer/TextSummarizerGenAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lennartschaeffer/TextSummarizerGenAI with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lennartschaeffer/TextSummarizerGenAI") model = AutoModelForSeq2SeqLM.from_pretrained("lennartschaeffer/TextSummarizerGenAI") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -11,13 +11,6 @@ base_model:
|
|
| 11 |
<!-- Provide a quick summary of what the model is/does. -->
|
| 12 |
Flan T5 small model fine tuned on BBC News articles for text summarization.
|
| 13 |
|
| 14 |
-
|
| 15 |
-
### Model Description
|
| 16 |
-
|
| 17 |
-
<!-- Provide a longer summary of what this model is. -->
|
| 18 |
-
|
| 19 |
-
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
|
| 20 |
-
|
| 21 |
- **Developed by:** Lennart Schaeffer
|
| 22 |
- **Finetuned from model [optional]:** Flan T5 small
|
| 23 |
|
|
|
|
| 11 |
<!-- Provide a quick summary of what the model is/does. -->
|
| 12 |
Flan T5 small model fine tuned on BBC News articles for text summarization.
|
| 13 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 14 |
- **Developed by:** Lennart Schaeffer
|
| 15 |
- **Finetuned from model [optional]:** Flan T5 small
|
| 16 |
|