Instructions to use AhmedSSoliman/MarianCG-CoNaLa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AhmedSSoliman/MarianCG-CoNaLa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("AhmedSSoliman/MarianCG-CoNaLa") model = AutoModelForSeq2SeqLM.from_pretrained("AhmedSSoliman/MarianCG-CoNaLa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
27bd5ab
1
Parent(s): bc0ad39
Update README.md
Browse files
README.md
CHANGED
|
@@ -50,7 +50,7 @@ Tasks:
|
|
| 50 |
|
| 51 |
# Citation
|
| 52 |
|
| 53 |
-
We now have a paper for this work and you can cite:
|
| 54 |
|
| 55 |
```
|
| 56 |
@article{soliman2022mariancg,
|
|
@@ -62,6 +62,7 @@ We now have a paper for this work and you can cite:
|
|
| 62 |
pages={1--23},
|
| 63 |
year={2022},
|
| 64 |
publisher={SpringerOpen}
|
|
|
|
| 65 |
}
|
| 66 |
|
| 67 |
```
|
|
|
|
| 50 |
|
| 51 |
# Citation
|
| 52 |
|
| 53 |
+
We now have a [paper](https://doi.org/10.1186/s44147-022-00159-4) for this work and you can cite:
|
| 54 |
|
| 55 |
```
|
| 56 |
@article{soliman2022mariancg,
|
|
|
|
| 62 |
pages={1--23},
|
| 63 |
year={2022},
|
| 64 |
publisher={SpringerOpen}
|
| 65 |
+
url={https://doi.org/10.1186/s44147-022-00159-4}
|
| 66 |
}
|
| 67 |
|
| 68 |
```
|