ZeppelinCorp/Eclipse_Corpuz
Updated • 14
How to use ZeppelinCorp/Charm_10 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-generation", model="ZeppelinCorp/Charm_10") # Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("ZeppelinCorp/Charm_10", dtype="auto")How to use ZeppelinCorp/Charm_10 with vLLM:
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ZeppelinCorp/Charm_10"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "ZeppelinCorp/Charm_10",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'docker model run hf.co/ZeppelinCorp/Charm_10
How to use ZeppelinCorp/Charm_10 with SGLang:
# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
--model-path "ZeppelinCorp/Charm_10" \
--host 0.0.0.0 \
--port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "ZeppelinCorp/Charm_10",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'docker run --gpus all \
--shm-size 32g \
-p 30000:30000 \
-v ~/.cache/huggingface:/root/.cache/huggingface \
--env "HF_TOKEN=<secret>" \
--ipc=host \
lmsysorg/sglang:latest \
python3 -m sglang.launch_server \
--model-path "ZeppelinCorp/Charm_10" \
--host 0.0.0.0 \
--port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "ZeppelinCorp/Charm_10",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'How to use ZeppelinCorp/Charm_10 with Docker Model Runner:
docker model run hf.co/ZeppelinCorp/Charm_10
Chatflare/Zeppelin Charm 10 is the latest version of the Chatflare/Zeppelin AI-powered platform, featuring state-of-the-art artificial intelligence, cloud integration, and gaming compatibility. Designed to deliver unmatched performance, security, and seamless user experience.
To get started with Chatflare Charm 10, follow these steps:
git clone https://github.com/chatflare/Charm10.git
cd Charm10
npm install
We welcome contributions from developers and AI enthusiasts! If you’d like to contribute:
git checkout -b feature-branch)git commit -m 'Add new feature')git push origin feature-branch)Chatflare Charm 10 is licensed under the MIT License.
Made with ❤️ by Chatflare Corporation