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
| import os | |
| import sys | |
| from itertools import product, starmap | |
| import distutils.command.install_lib as orig | |
| class install_lib(orig.install_lib): | |
| """Don't add compiled flags to filenames of non-Python files""" | |
| def run(self): | |
| self.build() | |
| outfiles = self.install() | |
| if outfiles is not None: | |
| # always compile, in case we have any extension stubs to deal with | |
| self.byte_compile(outfiles) | |
| def get_exclusions(self): | |
| """ | |
| Return a collections.Sized collections.Container of paths to be | |
| excluded for single_version_externally_managed installations. | |
| """ | |
| all_packages = ( | |
| pkg | |
| for ns_pkg in self._get_SVEM_NSPs() | |
| for pkg in self._all_packages(ns_pkg) | |
| ) | |
| excl_specs = product(all_packages, self._gen_exclusion_paths()) | |
| return set(starmap(self._exclude_pkg_path, excl_specs)) | |
| def _exclude_pkg_path(self, pkg, exclusion_path): | |
| """ | |
| Given a package name and exclusion path within that package, | |
| compute the full exclusion path. | |
| """ | |
| parts = pkg.split('.') + [exclusion_path] | |
| return os.path.join(self.install_dir, *parts) | |
| def _all_packages(pkg_name): | |
| """ | |
| >>> list(install_lib._all_packages('foo.bar.baz')) | |
| ['foo.bar.baz', 'foo.bar', 'foo'] | |
| """ | |
| while pkg_name: | |
| yield pkg_name | |
| pkg_name, sep, child = pkg_name.rpartition('.') | |
| def _get_SVEM_NSPs(self): | |
| """ | |
| Get namespace packages (list) but only for | |
| single_version_externally_managed installations and empty otherwise. | |
| """ | |
| # TODO: is it necessary to short-circuit here? i.e. what's the cost | |
| # if get_finalized_command is called even when namespace_packages is | |
| # False? | |
| if not self.distribution.namespace_packages: | |
| return [] | |
| install_cmd = self.get_finalized_command('install') | |
| svem = install_cmd.single_version_externally_managed | |
| return self.distribution.namespace_packages if svem else [] | |
| def _gen_exclusion_paths(): | |
| """ | |
| Generate file paths to be excluded for namespace packages (bytecode | |
| cache files). | |
| """ | |
| # always exclude the package module itself | |
| yield '__init__.py' | |
| yield '__init__.pyc' | |
| yield '__init__.pyo' | |
| if not hasattr(sys, 'implementation'): | |
| return | |
| base = os.path.join( | |
| '__pycache__', '__init__.' + sys.implementation.cache_tag) | |
| yield base + '.pyc' | |
| yield base + '.pyo' | |
| yield base + '.opt-1.pyc' | |
| yield base + '.opt-2.pyc' | |
| def copy_tree( | |
| self, infile, outfile, | |
| preserve_mode=1, preserve_times=1, preserve_symlinks=0, level=1 | |
| ): | |
| assert preserve_mode and preserve_times and not preserve_symlinks | |
| exclude = self.get_exclusions() | |
| if not exclude: | |
| return orig.install_lib.copy_tree(self, infile, outfile) | |
| # Exclude namespace package __init__.py* files from the output | |
| from setuptools.archive_util import unpack_directory | |
| from distutils import log | |
| outfiles = [] | |
| def pf(src, dst): | |
| if dst in exclude: | |
| log.warn("Skipping installation of %s (namespace package)", | |
| dst) | |
| return False | |
| log.info("copying %s -> %s", src, os.path.dirname(dst)) | |
| outfiles.append(dst) | |
| return dst | |
| unpack_directory(infile, outfile, pf) | |
| return outfiles | |
| def get_outputs(self): | |
| outputs = orig.install_lib.get_outputs(self) | |
| exclude = self.get_exclusions() | |
| if exclude: | |
| return [f for f in outputs if f not in exclude] | |
| return outputs | |