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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("peterjandre/finetuned-codet5-vbnet-csharp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from peterjandre/finetuned-codet5-vbnet-csharp: direct link, hf CLI and curl.
- Browser
- Download file 2.29 MB
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https://huggingface.co/peterjandre/finetuned-codet5-vbnet-csharp/resolve/main/tokenizer.json
- Command line
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hf download hf://peterjandre/finetuned-codet5-vbnet-csharp/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/peterjandre/finetuned-codet5-vbnet-csharp/resolve/main/tokenizer.json
2.29 MB
File too large to display, you can check the raw version instead.