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
| """distutils.command.clean | |
| Implements the Distutils 'clean' command.""" | |
| # contributed by Bastian Kleineidam <calvin@cs.uni-sb.de>, added 2000-03-18 | |
| import os | |
| from distutils.core import Command | |
| from distutils.dir_util import remove_tree | |
| from distutils import log | |
| class clean(Command): | |
| description = "clean up temporary files from 'build' command" | |
| user_options = [ | |
| ('build-base=', 'b', | |
| "base build directory (default: 'build.build-base')"), | |
| ('build-lib=', None, | |
| "build directory for all modules (default: 'build.build-lib')"), | |
| ('build-temp=', 't', | |
| "temporary build directory (default: 'build.build-temp')"), | |
| ('build-scripts=', None, | |
| "build directory for scripts (default: 'build.build-scripts')"), | |
| ('bdist-base=', None, | |
| "temporary directory for built distributions"), | |
| ('all', 'a', | |
| "remove all build output, not just temporary by-products") | |
| ] | |
| boolean_options = ['all'] | |
| def initialize_options(self): | |
| self.build_base = None | |
| self.build_lib = None | |
| self.build_temp = None | |
| self.build_scripts = None | |
| self.bdist_base = None | |
| self.all = None | |
| def finalize_options(self): | |
| self.set_undefined_options('build', | |
| ('build_base', 'build_base'), | |
| ('build_lib', 'build_lib'), | |
| ('build_scripts', 'build_scripts'), | |
| ('build_temp', 'build_temp')) | |
| self.set_undefined_options('bdist', | |
| ('bdist_base', 'bdist_base')) | |
| def run(self): | |
| # remove the build/temp.<plat> directory (unless it's already | |
| # gone) | |
| if os.path.exists(self.build_temp): | |
| remove_tree(self.build_temp, dry_run=self.dry_run) | |
| else: | |
| log.debug("'%s' does not exist -- can't clean it", | |
| self.build_temp) | |
| if self.all: | |
| # remove build directories | |
| for directory in (self.build_lib, | |
| self.bdist_base, | |
| self.build_scripts): | |
| if os.path.exists(directory): | |
| remove_tree(directory, dry_run=self.dry_run) | |
| else: | |
| log.warn("'%s' does not exist -- can't clean it", | |
| directory) | |
| # just for the heck of it, try to remove the base build directory: | |
| # we might have emptied it right now, but if not we don't care | |
| if not self.dry_run: | |
| try: | |
| os.rmdir(self.build_base) | |
| log.info("removing '%s'", self.build_base) | |
| except OSError: | |
| pass | |