Instructions to use roborovski/phi-2-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roborovski/phi-2-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="roborovski/phi-2-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("roborovski/phi-2-classifier") model = AutoModelForSequenceClassification.from_pretrained("roborovski/phi-2-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e3d4432c62bd04bbd8a3f0330f30cc773610a13f0d25935f09f56ece276b0e9
- Size of remote file:
- 497 MB
- SHA256:
- 846819d19c5f4ccd1fbe70cb4cec302ad461d184044327b233704c9fc4225bae
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