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
| 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 | |