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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 72ac7ed604d5f6ec6a4b390687b4c1464c2c49cbab0f28cf1f19f81e8c95eaa4
- Size of remote file:
- 268 MB
- SHA256:
- 6119f0c293035c3b938043e7ce69cbc51952c8688aa8c44775e2ada305b8f771
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