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: 2,426 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 | from distutils.errors import DistutilsOptionError
from setuptools.extern.six.moves import map
from setuptools.command.setopt import edit_config, option_base, config_file
def shquote(arg):
"""Quote an argument for later parsing by shlex.split()"""
for c in '"', "'", "\\", "#":
if c in arg:
return repr(arg)
if arg.split() != [arg]:
return repr(arg)
return arg
class alias(option_base):
"""Define a shortcut that invokes one or more commands"""
description = "define a shortcut to invoke one or more commands"
command_consumes_arguments = True
user_options = [
('remove', 'r', 'remove (unset) the alias'),
] + option_base.user_options
boolean_options = option_base.boolean_options + ['remove']
def initialize_options(self):
option_base.initialize_options(self)
self.args = None
self.remove = None
def finalize_options(self):
option_base.finalize_options(self)
if self.remove and len(self.args) != 1:
raise DistutilsOptionError(
"Must specify exactly one argument (the alias name) when "
"using --remove"
)
def run(self):
aliases = self.distribution.get_option_dict('aliases')
if not self.args:
print("Command Aliases")
print("---------------")
for alias in aliases:
print("setup.py alias", format_alias(alias, aliases))
return
elif len(self.args) == 1:
alias, = self.args
if self.remove:
command = None
elif alias in aliases:
print("setup.py alias", format_alias(alias, aliases))
return
else:
print("No alias definition found for %r" % alias)
return
else:
alias = self.args[0]
command = ' '.join(map(shquote, self.args[1:]))
edit_config(self.filename, {'aliases': {alias: command}}, self.dry_run)
def format_alias(name, aliases):
source, command = aliases[name]
if source == config_file('global'):
source = '--global-config '
elif source == config_file('user'):
source = '--user-config '
elif source == config_file('local'):
source = ''
else:
source = '--filename=%r' % source
return source + name + ' ' + command
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