Text Generation
Transformers
Safetensors
English
t5
text2text-generation
bpmn
Business Process
text-generation-inference
Instructions to use fachati/TXT2BPMN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fachati/TXT2BPMN with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="fachati/TXT2BPMN")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("fachati/TXT2BPMN") model = AutoModelForSeq2SeqLM.from_pretrained("fachati/TXT2BPMN", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use fachati/TXT2BPMN with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "fachati/TXT2BPMN" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "fachati/TXT2BPMN", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/fachati/TXT2BPMN
- SGLang
How to use fachati/TXT2BPMN 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 "fachati/TXT2BPMN" \ --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": "fachati/TXT2BPMN", "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 "fachati/TXT2BPMN" \ --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": "fachati/TXT2BPMN", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use fachati/TXT2BPMN with Docker Model Runner:
docker model run hf.co/fachati/TXT2BPMN
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license: mit
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# TXT2BPMN Model
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## Model Description
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Developed by Omar El Fachati as part of a Master's thesis. The project was supervised by academic and industry professionals.
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## Contact Information
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For further assistance or collaboration opportunities, contact me on my [LinkedIn](https://www.linkedin.com/in/fachati/).
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license: mit
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language:
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- en
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pipeline_tag: text2text-generation
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tags:
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- bpmn
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- Business Process
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---
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# TXT2BPMN Model
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## Model Description
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Developed by Omar El Fachati as part of a Master's thesis. The project was supervised by academic and industry professionals.
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## Contact Information
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For further assistance or collaboration opportunities, contact me on my [LinkedIn](https://www.linkedin.com/in/fachati/).
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