Text Generation
Transformers
PyTorch
English
gpt_neox
gpt
llm
large language model
PAIX.Cloud
text-generation-inference
Instructions to use PAIXAI/Astrid-1B-CPU with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PAIXAI/Astrid-1B-CPU with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="PAIXAI/Astrid-1B-CPU")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("PAIXAI/Astrid-1B-CPU") model = AutoModelForCausalLM.from_pretrained("PAIXAI/Astrid-1B-CPU", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use PAIXAI/Astrid-1B-CPU with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "PAIXAI/Astrid-1B-CPU" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "PAIXAI/Astrid-1B-CPU", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/PAIXAI/Astrid-1B-CPU
- SGLang
How to use PAIXAI/Astrid-1B-CPU with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "PAIXAI/Astrid-1B-CPU" \ --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": "PAIXAI/Astrid-1B-CPU", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
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 "PAIXAI/Astrid-1B-CPU" \ --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": "PAIXAI/Astrid-1B-CPU", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use PAIXAI/Astrid-1B-CPU with Docker Model Runner:
docker model run hf.co/PAIXAI/Astrid-1B-CPU
- Xet hash:
- fa37438717624927f13f6f44b65fa309d09b6b5f11ac1beeb227b6de7e7018a6
- Size of remote file:
- 2.09 GB
- SHA256:
- bbe39a39f3a8ecbe6c55b34d468d16ac7111fdc78be13f0762d9ca4c9e6c4725
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