Instructions to use BBuf/RWKV-4-World-169M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BBuf/RWKV-4-World-169M with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BBuf/RWKV-4-World-169M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from BBuf/RWKV-4-World-169M: direct link, hf CLI and curl.
- Browser
- Download file 386 MB
-
https://huggingface.co/BBuf/RWKV-4-World-169M/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://BBuf/RWKV-4-World-169M/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/BBuf/RWKV-4-World-169M/resolve/main/pytorch_model.bin
386 MB
- Xet hash:
- 27dc290b1c706f5acbd1c08cead09abc90dfd75e9f02c963b056a977c4c68b16
- Size of remote file:
- 386 MB
- SHA256:
- 0968101c11510d3c35025e38f3fd7072153de8f910aef3a3fc5068c92d0aeb6b
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