Instructions to use SlipStream33/phi3-query-classifier_hs_final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SlipStream33/phi3-query-classifier_hs_final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="SlipStream33/phi3-query-classifier_hs_final", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SlipStream33/phi3-query-classifier_hs_final", trust_remote_code=True) model = AutoModel.from_pretrained("SlipStream33/phi3-query-classifier_hs_final", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 2,932 Bytes
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