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")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("fachati/TXT2BPMN") model = AutoModelForSeq2SeqLM.from_pretrained("fachati/TXT2BPMN") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- 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
Update config.json
Browse files- config.json +1 -1
config.json
CHANGED
|
@@ -29,7 +29,7 @@
|
|
| 29 |
"bpmn_dot_generation": {
|
| 30 |
"max_length": 512,
|
| 31 |
"num_beams": 4,
|
| 32 |
-
"early_stopping":
|
| 33 |
"prefix": "the following is: "
|
| 34 |
},
|
| 35 |
"summarization": {
|
|
|
|
| 29 |
"bpmn_dot_generation": {
|
| 30 |
"max_length": 512,
|
| 31 |
"num_beams": 4,
|
| 32 |
+
"early_stopping": false,
|
| 33 |
"prefix": "the following is: "
|
| 34 |
},
|
| 35 |
"summarization": {
|