Instructions to use StarRing2022/RWKV-4-Raven-3B-v11-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StarRing2022/RWKV-4-Raven-3B-v11-zh with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("StarRing2022/RWKV-4-Raven-3B-v11-zh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from StarRing2022/RWKV-4-Raven-3B-v11-zh: direct link, hf CLI and curl.
- Browser
- Download file 764 Bytes
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https://huggingface.co/StarRing2022/RWKV-4-Raven-3B-v11-zh/resolve/main/README.md
- Command line
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hf download hf://StarRing2022/RWKV-4-Raven-3B-v11-zh/README.md
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curl -L -o README.md https://huggingface.co/StarRing2022/RWKV-4-Raven-3B-v11-zh/resolve/main/README.md
764 Bytes
| {RWKV-4-Raven-3B-v11-zh} | |
| 将RWKV模型转化为HF格式,与HF无缝连接,几句代码调用RWKV | |
| 底座模型:RWKV-4-Raven-3B-v11-Eng49%-Chn49%-Jpn1%-Other1%-20230429-ctx4096.pth(https://huggingface.co/BlinkDL/rwkv-4-raven) | |
| import torch | |
| from transformers import GPTNeoXTokenizerFast, RwkvConfig, RwkvForCausalLM | |
| model = RwkvForCausalLM.from_pretrained("StarRing2022/RWKV-4-Raven-3B-v11-zh") | |
| tokenizer = GPTNeoXTokenizerFast.from_pretrained("StarRing2022/RWKV-4-Raven-3B-v11-zh") | |
| text = "你好" | |
| input_ids = tokenizer.encode(text, return_tensors='pt') | |
| out = model.generate(input_ids=input_ids,max_new_tokens=128) | |
| answer = tokenizer.decode(out[0]) | |
| print(answer) | |
| GIT开源地址:https://github.com/StarRing2022/HF-For-RWKVRaven-Alpaca/ |