Instructions to use MrezaPRZ/codegemma_query_picker_new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MrezaPRZ/codegemma_query_picker_new with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MrezaPRZ/codegemma_query_picker_new")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MrezaPRZ/codegemma_query_picker_new") model = AutoModelForSequenceClassification.from_pretrained("MrezaPRZ/codegemma_query_picker_new", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 561804ae914181daf4f0c277a36d7b1f088b98fd960932c75c10527ebc875d98
- Size of remote file:
- 17.5 MB
- SHA256:
- ea00769e59ef51dbdf19d611237c5bc0ee120ef72cc8d0800b5fb7493a5bbcea
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