Summarization
Transformers
TensorBoard
Safetensors
English
t5
text2text-generation
summarizer
text summarization
abstractive summarization
text-generation-inference
Instructions to use KipperDev/t5_summarizer_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KipperDev/t5_summarizer_model with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="KipperDev/t5_summarizer_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("KipperDev/t5_summarizer_model") model = AutoModelForSeq2SeqLM.from_pretrained("KipperDev/t5_summarizer_model") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -15,7 +15,7 @@ tags:
|
|
| 15 |
|
| 16 |
[](https://shields.io/)
|
| 17 |
|
| 18 |
-
[]()
|
| 19 |
|
| 20 |
# Table of Contents
|
| 21 |
|
|
@@ -109,7 +109,3 @@ Model performance was evaluated using the ROUGE metric, highlighting its capabil
|
|
| 109 |
# Authors
|
| 110 |
|
| 111 |
This model card was written by [Fernanda Kipper](https://www.fernandakipper.com/)
|
| 112 |
-
|
| 113 |
-
# How to Get Started with the Model
|
| 114 |
-
|
| 115 |
-
Use the code below to get started with the model.
|
|
|
|
| 15 |
|
| 16 |
[](https://shields.io/)
|
| 17 |
|
| 18 |
+
[](https://colab.research.google.com/drive/1Dz6P-Sbrsav3Fd48F3ApdmOnoFSy_msQ?usp=sharing)
|
| 19 |
|
| 20 |
# Table of Contents
|
| 21 |
|
|
|
|
| 109 |
# Authors
|
| 110 |
|
| 111 |
This model card was written by [Fernanda Kipper](https://www.fernandakipper.com/)
|
|
|
|
|
|
|
|
|
|
|
|