Instructions to use MrezaPRZ/codegemma_query_picker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MrezaPRZ/codegemma_query_picker with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MrezaPRZ/codegemma_query_picker")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MrezaPRZ/codegemma_query_picker") model = AutoModelForSequenceClassification.from_pretrained("MrezaPRZ/codegemma_query_picker", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cbbbb4ebddfdb947ac8d9fdf36a59da62be8c76be2ee1d4e06e7735e30739414
- Size of remote file:
- 17.5 MB
- SHA256:
- b2f7575eaf7cfe669ecf2de1112e54390c2fdd0fa59b8fc19385cc9d6941f326
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