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:
- e72d8dec68f9c724469af1a5a612b8d4c7d50bec8cb89eb8a3f9b0e65edea58f
- Size of remote file:
- 3.96 kB
- SHA256:
- 87d3d5f57e959a799ce2dd8734dce1294839f75e27c20058902e2ba27c83379d
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