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
File size: 3,875 Bytes
0a594a8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 | 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)
@staticmethod
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 []
@staticmethod
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
|