Instructions to use radlab/polish-denoiser-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use radlab/polish-denoiser-t5-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("radlab/polish-denoiser-t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("radlab/polish-denoiser-t5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse filesUpdated link to blog article
README.md
CHANGED
|
@@ -76,4 +76,4 @@ Astronomia jest jedną z najstarszych nauk.
|
|
| 76 |
Eval loss:
|
| 77 |

|
| 78 |
|
| 79 |
-
More information (in Polish) on our [blog](https://radlab.dev/2024/
|
|
|
|
| 76 |
Eval loss:
|
| 77 |

|
| 78 |
|
| 79 |
+
More information (in Polish) on our [blog](https://radlab.dev/2024/04/20/odszumiacz-tekstow/)
|