Instructions to use Danielbrdz/Barcenas-1.3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Danielbrdz/Barcenas-1.3b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Danielbrdz/Barcenas-1.3b", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Danielbrdz/Barcenas-1.3b", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Danielbrdz/Barcenas-1.3b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Danielbrdz/Barcenas-1.3b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Danielbrdz/Barcenas-1.3b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Danielbrdz/Barcenas-1.3b
- SGLang
How to use Danielbrdz/Barcenas-1.3b 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 "Danielbrdz/Barcenas-1.3b" \ --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": "Danielbrdz/Barcenas-1.3b", "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 "Danielbrdz/Barcenas-1.3b" \ --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": "Danielbrdz/Barcenas-1.3b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Danielbrdz/Barcenas-1.3b with Docker Model Runner:
docker model run hf.co/Danielbrdz/Barcenas-1.3b
Barcenas 1.3b is a natural language model based on Microsoft's phi-1.5 model, which was trained using synthetic texts generated from textbooks, code, and other sources. Barcenas 1.3b has the ability to generate imaginative and innovative content, such as poems, stories, code, essays, songs, celebrity parodies, and more, using its own words and knowledge. Barcenas 1.3b can also answer questions, engage in conversations, and write code in different formats. Barcenas 1.3b is an open-source model that can be used for research and educational purposes.
Made with ❤️ in Guadalupe, Nuevo Leon, Mexico 🇲🇽
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