Instructions to use dipudl/wrong-binary-operator-bug-distilbert-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dipudl/wrong-binary-operator-bug-distilbert-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dipudl/wrong-binary-operator-bug-distilbert-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dipudl/wrong-binary-operator-bug-distilbert-model") model = AutoModelForSequenceClassification.from_pretrained("dipudl/wrong-binary-operator-bug-distilbert-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f24951d6618d424ac3440a59c25cfbbcbc774ea60e9a429cbb44e1fa50e6e259
- Size of remote file:
- 268 MB
- SHA256:
- d67d9bc53f06337fdf26a33ae44a61ed27b16af6d4dec0881cc5cb7503534470
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