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")# pip install -U transformers accelerate # 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
Update README.md
Browse files
README.md
CHANGED
|
@@ -8,7 +8,7 @@ tags:
|
|
| 8 |
- large language model
|
| 9 |
- h2o-llmstudio
|
| 10 |
inference: true
|
| 11 |
-
thumbnail: https://
|
| 12 |
---
|
| 13 |
# Model Card
|
| 14 |
## Summary
|
|
|
|
| 8 |
- large language model
|
| 9 |
- h2o-llmstudio
|
| 10 |
inference: true
|
| 11 |
+
thumbnail: https://static.wixstatic.com/media/bdee4e_8aa5cefc86024bc88f7e20e3e19d9ff3~mv2.png/v1/fill/w_192%2Ch_192%2Clg_1%2Cusm_0.66_1.00_0.01/bdee4e_8aa5cefc86024bc88f7e20e3e19d9ff3~mv2.png
|
| 12 |
---
|
| 13 |
# Model Card
|
| 14 |
## Summary
|