Instructions to use ridger/SpikeGPT-BookCorpus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- RWKV
How to use ridger/SpikeGPT-BookCorpus with RWKV:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6dea1f1630f0930a5abd82b8fe978f9adaa1c30eabc1a85deff53ed65d2e7568
- Size of remote file:
- 738 MB
- SHA256:
- 01496fea44d1ddcee1f166a8a187c8f225ad1f3a5c8a0e9c81f2a42e67be8069
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.