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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 292 Bytes
42b1426 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"language": [
"vbnet",
"csharp"
],
"tags": [
"code",
"code-to-code",
"translation",
"codet5"
],
"license": "mit",
"pipeline_tag": "text2text-generation",
"library_name": "transformers",
"model_type": "CodeT5"
} |