Instructions to use NamCyan/codet5p-220m-technical-debt-code-tesoro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NamCyan/codet5p-220m-technical-debt-code-tesoro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NamCyan/codet5p-220m-technical-debt-code-tesoro")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NamCyan/codet5p-220m-technical-debt-code-tesoro") model = AutoModelForSequenceClassification.from_pretrained("NamCyan/codet5p-220m-technical-debt-code-tesoro", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2063b032d3c00fbc410c8828b80334a78568ea7edd3da2640884408a0352aaa0
- Size of remote file:
- 894 MB
- SHA256:
- 78b605668417243532f0922ee65c7bdb20440bf3c33bcd3915ca9e141fdcc71e
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