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:
- 39622b8d086a3f71d80bffffeb5f9fee41dc26bb066801ddbd0a9e55364d6d3b
- Size of remote file:
- 3.58 kB
- SHA256:
- 9b4204ebf717e06337f61940f4c8a2f2973200d2ddedd6135804242fa05ff4c3
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