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: 2,776 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 | """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
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