Instructions to use lafarizo/code_translation_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lafarizo/code_translation_v3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lafarizo/code_translation_v3") model = AutoModelForSeq2SeqLM.from_pretrained("lafarizo/code_translation_v3") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -15,7 +15,7 @@ widget:
|
|
| 15 |
# Code Translation v3
|
| 16 |
Code Translation from Java to C#
|
| 17 |
|
| 18 |
-
###
|
| 19 |
- **Repository:** [uclanlp/plbart-base](https://huggingface.co/uclanlp/plbart-base)
|
| 20 |
|
| 21 |
### Dataset
|
|
|
|
| 15 |
# Code Translation v3
|
| 16 |
Code Translation from Java to C#
|
| 17 |
|
| 18 |
+
### Base Model
|
| 19 |
- **Repository:** [uclanlp/plbart-base](https://huggingface.co/uclanlp/plbart-base)
|
| 20 |
|
| 21 |
### Dataset
|