Instructions to use Floobin/TSwifty-SN6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Floobin/TSwifty-SN6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Floobin/TSwifty-SN6") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Floobin/TSwifty-SN6") model = AutoModelForCausalLM.from_pretrained("Floobin/TSwifty-SN6", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Floobin/TSwifty-SN6 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Floobin/TSwifty-SN6" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Floobin/TSwifty-SN6", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Floobin/TSwifty-SN6
- SGLang
How to use Floobin/TSwifty-SN6 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 "Floobin/TSwifty-SN6" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Floobin/TSwifty-SN6", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'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 "Floobin/TSwifty-SN6" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Floobin/TSwifty-SN6", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Floobin/TSwifty-SN6 with Docker Model Runner:
docker model run hf.co/Floobin/TSwifty-SN6
| # This file must be used with "source bin/activate" *from bash* | |
| # you cannot run it directly | |
| deactivate () { | |
| # reset old environment variables | |
| if [ -n "${_OLD_VIRTUAL_PATH:-}" ] ; then | |
| PATH="${_OLD_VIRTUAL_PATH:-}" | |
| export PATH | |
| unset _OLD_VIRTUAL_PATH | |
| fi | |
| if [ -n "${_OLD_VIRTUAL_PYTHONHOME:-}" ] ; then | |
| PYTHONHOME="${_OLD_VIRTUAL_PYTHONHOME:-}" | |
| export PYTHONHOME | |
| unset _OLD_VIRTUAL_PYTHONHOME | |
| fi | |
| # This should detect bash and zsh, which have a hash command that must | |
| # be called to get it to forget past commands. Without forgetting | |
| # past commands the $PATH changes we made may not be respected | |
| if [ -n "${BASH:-}" -o -n "${ZSH_VERSION:-}" ] ; then | |
| hash -r 2> /dev/null | |
| fi | |
| if [ -n "${_OLD_VIRTUAL_PS1:-}" ] ; then | |
| PS1="${_OLD_VIRTUAL_PS1:-}" | |
| export PS1 | |
| unset _OLD_VIRTUAL_PS1 | |
| fi | |
| unset VIRTUAL_ENV | |
| if [ ! "${1:-}" = "nondestructive" ] ; then | |
| # Self destruct! | |
| unset -f deactivate | |
| fi | |
| } | |
| # unset irrelevant variables | |
| deactivate nondestructive | |
| VIRTUAL_ENV="C:\Users\brend\OneDrive\desktop\Udemy\SN6\TSwifty-SN6\venv" | |
| export VIRTUAL_ENV | |
| _OLD_VIRTUAL_PATH="$PATH" | |
| PATH="$VIRTUAL_ENV/Scripts:$PATH" | |
| export PATH | |
| # unset PYTHONHOME if set | |
| # this will fail if PYTHONHOME is set to the empty string (which is bad anyway) | |
| # could use `if (set -u; : $PYTHONHOME) ;` in bash | |
| if [ -n "${PYTHONHOME:-}" ] ; then | |
| _OLD_VIRTUAL_PYTHONHOME="${PYTHONHOME:-}" | |
| unset PYTHONHOME | |
| fi | |
| if [ -z "${VIRTUAL_ENV_DISABLE_PROMPT:-}" ] ; then | |
| _OLD_VIRTUAL_PS1="${PS1:-}" | |
| PS1="(venv) ${PS1:-}" | |
| export PS1 | |
| fi | |
| # This should detect bash and zsh, which have a hash command that must | |
| # be called to get it to forget past commands. Without forgetting | |
| # past commands the $PATH changes we made may not be respected | |
| if [ -n "${BASH:-}" -o -n "${ZSH_VERSION:-}" ] ; then | |
| hash -r 2> /dev/null | |
| fi | |