Instructions to use sgugger/rwkv-430M-pile with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sgugger/rwkv-430M-pile with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sgugger/rwkv-430M-pile", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 50b4f2b67eede62c763a0d95e89694a7c029637b1c38f446dea64d0fb1083ca0
- Size of remote file:
- 861 MB
- SHA256:
- 0be6cd82dd52ddd48668b5242cec053c68ae553e48804cefedf68668282129a2
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