Instructions to use RaagulQB/OpenELM450M-code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RaagulQB/OpenELM450M-code with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RaagulQB/OpenELM450M-code", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f8e6440e38ccdfe515e8d6c69def343beb5c38f32c2f985804f0dbf2a7251f6b
- Size of remote file:
- 1.93 MB
- SHA256:
- 89a0fbabf4b79efeeed38159b8dd75c5826eff081078421fc5c8505c44ed0c08
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