Instructions to use JaeWooShin/gsm8k_ablation_method_randomseed2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use JaeWooShin/gsm8k_ablation_method_randomseed2 with PEFT:
Task type is invalid.
- Transformers
How to use JaeWooShin/gsm8k_ablation_method_randomseed2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JaeWooShin/gsm8k_ablation_method_randomseed2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1da206667aee68d0721e8937cd3db5659c73b4e9141309d4eb28f8f9bd51b994
- Size of remote file:
- 74.1 MB
- SHA256:
- a7fda5881e7cf27008eda787b708f2f43f48b22cc5ef8f0788fe5ea394d88b55
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.