Instructions to use dipudl/codeT5-DistilBERT-wrong-binary-operator-bug-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dipudl/codeT5-DistilBERT-wrong-binary-operator-bug-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dipudl/codeT5-DistilBERT-wrong-binary-operator-bug-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dipudl/codeT5-DistilBERT-wrong-binary-operator-bug-model") model = AutoModelForSequenceClassification.from_pretrained("dipudl/codeT5-DistilBERT-wrong-binary-operator-bug-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4326e4f65599204c44cb1bde21df6d5ac6f38a71ec7910c186c13f85ae34725e
- Size of remote file:
- 3.38 kB
- SHA256:
- 2eaf7c5df942ef33fc8391f6118e697437a55801c61506961372dc14a7fe2fcd
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