Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using this raw template.
Model Details
Model Description
- Developed by: 知未智能KDF
- Model type: JIANG
- Language(s) (NLP): Chinese
- License: apache-2.0
How to Get Started with the Model
Use the code below to get started with the model.
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = 'kdf/jiang-base'
model = AutoModelForCausalLM.from_pretrained(model_id, trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
ret = model.generate(**tokenizer('今天天气不错', return_tensors='pt'), max_new_tokens=50, top_k=1)
print(tokenizer.decode(ret[0]))
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Install from pip and serve model
# Install vLLM from pip: pip install vllm# Start the vLLM server: vllm serve "kdf/jiang-base"# Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "kdf/jiang-base", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'