Instructions to use NamCyan/starcoder2-3b-technical-debt-code-tesoro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NamCyan/starcoder2-3b-technical-debt-code-tesoro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NamCyan/starcoder2-3b-technical-debt-code-tesoro")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NamCyan/starcoder2-3b-technical-debt-code-tesoro") model = AutoModelForSequenceClassification.from_pretrained("NamCyan/starcoder2-3b-technical-debt-code-tesoro") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3615150078ddd13a348bb4ead707380d94ad8a4df5ac2e821ed2db2f304e92a9
- Size of remote file:
- 2.22 GB
- SHA256:
- d1235570a30ca5936095405c65eeee596bf6d2adb38dfe5191dc0b257da357a1
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