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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac0b0209fc521404bf4ce87230878d583a7c5fdefed08af39e7f12cc40853d96
- Size of remote file:
- 497 MB
- SHA256:
- a0e4cbc4a1d4bfda4302142f6e3cb563f4e96b01013e45ca643ade19e8837349
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