Instructions to use BueormLLC/RAGPT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BueormLLC/RAGPT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="BueormLLC/RAGPT")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("BueormLLC/RAGPT") model = AutoModelForCausalLM.from_pretrained("BueormLLC/RAGPT") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use BueormLLC/RAGPT with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "BueormLLC/RAGPT" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "BueormLLC/RAGPT", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/BueormLLC/RAGPT
- SGLang
How to use BueormLLC/RAGPT 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 "BueormLLC/RAGPT" \ --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": "BueormLLC/RAGPT", "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 "BueormLLC/RAGPT" \ --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": "BueormLLC/RAGPT", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use BueormLLC/RAGPT with Docker Model Runner:
docker model run hf.co/BueormLLC/RAGPT
Gerson Fabian Buenahora Ormaza commited on
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README.md
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@@ -91,11 +91,11 @@ If you use this model in your research, please cite:
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```
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@misc{RAGPT,
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author = {
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title = {RAGPT: Fine-tuned GPT-2 for Context-Based Question Answering},
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year = {2024},
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publisher = {GitHub},
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journal = {
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howpublished = {\url{https://huggingface.co/BueormLLC/RAGPT}}
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}
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```
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```
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@misc{RAGPT,
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author = {Bueorm},
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title = {RAGPT: Fine-tuned GPT-2 for Context-Based Question Answering},
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year = {2024},
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publisher = {GitHub},
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journal = {None},
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howpublished = {\url{https://huggingface.co/BueormLLC/RAGPT}}
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}
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```
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