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:
- 5a7c8ee40f63db03fe4743c6740aa31c51b7a7a4740fd43c8850b0a311681522
- Size of remote file:
- 3.96 kB
- SHA256:
- 29d190733a0f5c1591def6a1f1a654d4561fcd44cf2c3e7ead5de58e5230d4f0
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