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:
- 41f314d355e0db22f0da5abc28f1f2466eda49a556124c99335d7f385ad97c77
- Size of remote file:
- 268 MB
- SHA256:
- 14a167f0916e2c72fa7c7f7b0e999dc6ad4878a8e12cc2aef738c4e1f6447342
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.