Instructions to use StarRing2022/Dlip-RWKV with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StarRing2022/Dlip-RWKV with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("StarRing2022/Dlip-RWKV", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from StarRing2022/Dlip-RWKV: direct link, hf CLI and curl.
- Browser
- Download file 923 MB
-
https://huggingface.co/StarRing2022/Dlip-RWKV/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://StarRing2022/Dlip-RWKV/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/StarRing2022/Dlip-RWKV/resolve/main/pytorch_model.bin
923 MB
- Xet hash:
- f3aa89793bcb2bd4c62276e2c5e20d22077961f696daedaea8e7d7021001ad3d
- Size of remote file:
- 923 MB
- SHA256:
- 810200d75591fbdbbdb242e2e873ee4eee9ec64d69df0762083a33bbf9214f85
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