Instructions to use RaagulQB/Gemma_2_2B_it_coding_instruct_thinned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RaagulQB/Gemma_2_2B_it_coding_instruct_thinned with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RaagulQB/Gemma_2_2B_it_coding_instruct_thinned", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 468f89786a084f976ebe64a0fb2ecf73029025701e08d5a125aa4239fff2908e
- Size of remote file:
- 17.5 MB
- SHA256:
- 3f289bc05132635a8bc7aca7aa21255efd5e18f3710f43e3cdb96bcd41be4922
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