Instructions to use dkalpakchi/SweCTRL-Mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dkalpakchi/SweCTRL-Mini with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="dkalpakchi/SweCTRL-Mini")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("dkalpakchi/SweCTRL-Mini") model = AutoModelForCausalLM.from_pretrained("dkalpakchi/SweCTRL-Mini") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use dkalpakchi/SweCTRL-Mini with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "dkalpakchi/SweCTRL-Mini" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "dkalpakchi/SweCTRL-Mini", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/dkalpakchi/SweCTRL-Mini
- SGLang
How to use dkalpakchi/SweCTRL-Mini 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 "dkalpakchi/SweCTRL-Mini" \ --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": "dkalpakchi/SweCTRL-Mini", "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 "dkalpakchi/SweCTRL-Mini" \ --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": "dkalpakchi/SweCTRL-Mini", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use dkalpakchi/SweCTRL-Mini with Docker Model Runner:
docker model run hf.co/dkalpakchi/SweCTRL-Mini
| START_C_CODES = { | |
| "admin": ":förvaltning:", | |
| "ads": ":anons:", | |
| "blogs": ":blogg:", | |
| "blogs/economy": ":blogg::ekonomi:", | |
| "blogs/sport": ":blogg::idrott:", | |
| "blogs/tech": ":blogg::teknologi:", | |
| "debate": ":debatt:", | |
| "forum": ":forum:", | |
| "forum/economy": ":forum::ekonomi:", | |
| "forum/law": ":forum::juridik:", | |
| "forum/sport": ":forum::idrott:", | |
| "forum/tech": ":forum::teknologi:", | |
| "forum/travel": ":forum::resor:", | |
| "info": ":info:", | |
| "info/business": ":info::affar:", | |
| "info/lifestyle": ":info::livstil:", | |
| "info/medical": ":info::med:", | |
| "info/travel": ":info::resor:", | |
| "news": ":nyheter:", | |
| "news/culture": ":nyheter::kultur:", | |
| "news/economy": ":nyheter::ekonomi:", | |
| "news/fashion": ":nyheter::mode:", | |
| "news/food": ":nyheter::mat:", | |
| "news/lifestyle": ":nyheter::livstil:", | |
| "news/opinion": ":nyheter::asikt:", | |
| "news/politics": ":nyheter::politik:", | |
| "news/pressrelease": ":nyheter::pressmeddelande:", | |
| "news/science": ":nyheter::vetenskap:", | |
| "news/sport": ":nyheter:idrott:", | |
| "news/sustainability": ":nyheter::hallbarhet:", | |
| "news/tech": ":nyheter::teknologi:", | |
| "news/travel": ":nyheter::resor:", | |
| "news/weather": ":nyheter::vader:", | |
| "review": ":recension:", | |
| "simple": ":lattlast:", | |
| "wiki": ":wiki:", | |
| "lit": ":litteratur:", | |
| "title": ":rubrik:", | |
| } | |
| END_C_CODES = {k: "{}$".format(v) for k, v in START_C_CODES.items()} | |