Instructions to use peterjandre/codet5-vbnet-csharp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peterjandre/codet5-vbnet-csharp with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("peterjandre/codet5-vbnet-csharp") model = AutoModelForSeq2SeqLM.from_pretrained("peterjandre/codet5-vbnet-csharp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6aec5c7cb9a321a6eda5ec6509890086d67c5282e978916e1172776faa4af6a7
- Size of remote file:
- 5.43 kB
- SHA256:
- af618c5c24a8852be5f1e3de0675540c6c3887bee47cb4030aec664cef82de02
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