Instructions to use mtzig/reverse_add_replicate_eval17_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mtzig/reverse_add_replicate_eval17_small with Transformers:
# Load model directly from transformers import NanoGPT model = NanoGPT.from_pretrained("mtzig/reverse_add_replicate_eval17_small", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10815a1cbfc5183406409d69287a2a5f9c898bd04cfa52afc76d71c999120a58
- Size of remote file:
- 30.7 kB
- SHA256:
- 56b350f38ebdb21df05f385ccbec4aeb7b027e4d9b101137a2ac9f8f5677fac4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.