Instructions to use nayeshdaggula/dinodev-coder-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nayeshdaggula/dinodev-coder-7b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nayeshdaggula/dinodev-coder-7b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- fe917ba238a01c6e0c233d0b4fb965b23e6993c2749f6db6d5eaa4ae24989652
- Size of remote file:
- 162 MB
- SHA256:
- 449eae0a17d2b52b2f47e3699884e5e3b4fb41b7b04b8ab17795ffe010cb6fdd
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