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
|
@@ -6,7 +6,7 @@ base_model:
|
|
| 6 |
- google/flan-t5-small
|
| 7 |
---
|
| 8 |
|
| 9 |
-
#
|
| 10 |
|
| 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.
|
|
|
|
| 6 |
- google/flan-t5-small
|
| 7 |
---
|
| 8 |
|
| 9 |
+
# TextSummarizer AI
|
| 10 |
|
| 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.
|