Instructions to use rediska0123/gemma29bit-sciqa-lora-correctness-2epochs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rediska0123/gemma29bit-sciqa-lora-correctness-2epochs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="rediska0123/gemma29bit-sciqa-lora-correctness-2epochs", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("rediska0123/gemma29bit-sciqa-lora-correctness-2epochs", trust_remote_code=True) model = AutoModel.from_pretrained("rediska0123/gemma29bit-sciqa-lora-correctness-2epochs", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc77e00154b46d3b03f557a9422365e64ab91fe14fc0ac7101a90108a52a7101
- Size of remote file:
- 11.4 MB
- SHA256:
- 30f2336b5659fe3eec2ce5732123a99f108a2f52f35e247c780a01faa048fe5f
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