Instructions to use Simranjit/merged-phi-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Simranjit/merged-phi-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Simranjit/merged-phi-classifier", trust_remote_code=True, device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Simranjit/merged-phi-classifier", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("Simranjit/merged-phi-classifier", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a297b4674a939e16c9688b0d58e3de92b3cf02a7a2569e917de833792ec2193a
- Size of remote file:
- 2.47 GB
- SHA256:
- 1b64484e0c5434e66342cfeb212f581565b2d9c1f95c39bc987540097a8cf6e3
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