Instructions to use peterjandre/finetuned-codet5-vbnet-csharp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peterjandre/finetuned-codet5-vbnet-csharp with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" 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("translation", model="peterjandre/finetuned-codet5-vbnet-csharp")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("peterjandre/finetuned-codet5-vbnet-csharp", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "language": [ | |
| "vbnet", | |
| "csharp" | |
| ], | |
| "tags": [ | |
| "code", | |
| "code-to-code", | |
| "translation", | |
| "codet5" | |
| ], | |
| "license": "mit", | |
| "pipeline_tag": "text2text-generation", | |
| "library_name": "transformers", | |
| "model_type": "CodeT5" | |
| } |