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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Parent(s): 69b320c
Create README.md
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README.md
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将RWKV模型转化为HF格式,与HF无缝连接,几句代码调用RWKV
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底座模型:RWKV-4-Raven-3B-v11-Eng49%-Chn49%-Jpn1%-Other1%-20230429-ctx4096.pth(https://huggingface.co/BlinkDL/rwkv-4-raven)
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import torch
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from transformers import GPTNeoXTokenizerFast, RwkvConfig, RwkvForCausalLM
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model = RwkvForCausalLM.from_pretrained("StarRing2022/RWKV-4-Raven-3B-v11-zh")
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tokenizer = GPTNeoXTokenizerFast.from_pretrained("StarRing2022/RWKV-4-Raven-3B-v11-zh")
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text = "你好"
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input_ids = tokenizer.encode(text, return_tensors='pt')
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out = model.generate(input_ids=input_ids,max_new_tokens=128)
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answer = tokenizer.decode(out[0])
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print(answer)
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