Instructions to use jugu/setfit-keyword-query-classifier-ger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jugu/setfit-keyword-query-classifier-ger with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="jugu/setfit-keyword-query-classifier-ger")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("jugu/setfit-keyword-query-classifier-ger") model = AutoModel.from_pretrained("jugu/setfit-keyword-query-classifier-ger") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93ea15536fd2a0671375ba7b5b36a1a89e7824a728069d2a9207618a8851ce31
- Size of remote file:
- 471 MB
- SHA256:
- 09f80e33b19e102ff458d7b36c31101f13357aa77cd1fd7c97783b0c9dbcd63f
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