Instructions to use aieng-lab/codebert-base_smell-doc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/codebert-base_smell-doc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/codebert-base_smell-doc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/codebert-base_smell-doc") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/codebert-base_smell-doc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7bf8b8018056ca7f652ce8220ac806cfb2296820df08b7cc2a822315f61ef788
- Size of remote file:
- 249 MB
- SHA256:
- 99b1e3782881b171d11f74b204af6129cecdb84e70f497d42a8cdbb432de5e5e
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