Instructions to use ChimaAI/MORPH-benchmark with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ChimaAI/MORPH-benchmark with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ChimaAI/MORPH-benchmark", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a9fd76da21639f816ec30468aa8687a475c0c7b1049014a92773a01f999e2808
- Size of remote file:
- 5.75 kB
- SHA256:
- 8513d58c9841fbf957ace6f40d5d926804cd2bbd24b24e47834aa214791df416
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.