How to use from
vLLM
Install from pip and serve model
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "openbmb/cpm-ant-10b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "openbmb/cpm-ant-10b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'
Use Docker
docker model run hf.co/openbmb/cpm-ant-10b
Quick Links

Usage

pip install transformers
from transformers import CpmAntTokenizer, CpmAntForCausalLM

texts = "ไปŠๅคฉๅคฉๆฐ”ไธ้”™๏ผŒ"
model = CpmAntForCausalLM.from_pretrained("openbmb/cpm-ant-10b")
tokenizer = CpmAntTokenizer.from_pretrained("openbmb/cpm-ant-10b")
input_ids = tokenizer(texts, return_tensors="pt")
outputs = model.generate(**input_ids)
output_texts = tokenizer.batch_decode(outputs)

print(output_texts)
Downloads last month
8,112
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Spaces using openbmb/cpm-ant-10b 2