Instructions to use amkyawdev/myanmar-ghost with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use amkyawdev/myanmar-ghost with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="amkyawdev/myanmar-ghost")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("amkyawdev/myanmar-ghost", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use amkyawdev/myanmar-ghost with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "amkyawdev/myanmar-ghost"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "amkyawdev/myanmar-ghost",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/amkyawdev/myanmar-ghost

SGLang

How to use amkyawdev/myanmar-ghost 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 "amkyawdev/myanmar-ghost" \
    --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": "amkyawdev/myanmar-ghost",
		"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 "amkyawdev/myanmar-ghost" \
        --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": "amkyawdev/myanmar-ghost",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use amkyawdev/myanmar-ghost with Docker Model Runner:
```
docker model run hf.co/amkyawdev/myanmar-ghost
```

myanmar-ghost / pyproject.toml

amkyawdev

Add pyproject.toml

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	[build-system]
	requires = ["setuptools>=68.0", "wheel"]
	build-backend = "setuptools.build_meta"

	[project]
	name = "myanmar-ghost"
	version = "1.0.0"
	description = "Advanced Myanmar Language Understanding Model with Multi-Modal Fusion"
	readme = "README.md"
	requires-python = ">=3.10"
	license = {text = "Apache-2.0"}
	authors = [
	{name = "Aung Myo Kyaw", email = "amkyawdev@example.com"}
	]
	keywords = ["myanmar", "nlp", "llm", "multimodal", "burmese", "speech-recognition"]
	classifiers = [
	"Development Status :: 4 - Beta",
	"Intended Audience :: Developers",
	"Intended Audience :: Science/Research",
	"License :: OSI Approved :: Apache Software License",
	"Programming Language :: Python :: 3.10",
	"Programming Language :: Python :: 3.11",
	]

	dependencies = [
	"torch>=2.0.0",
	"transformers>=4.35.0",
	"peft>=0.7.0",
	"datasets>=2.14.0",
	"librosa>=0.10.0",
	"shap>=0.42.0",
	"flwr>=1.5.0",
	]

	[project.optional-dependencies]
	dev = [
	"pytest>=7.4.0",
	"black>=23.0.0",
	"isort>=5.12.0",
	"mypy>=1.7.0",
	]
	xai = [
	"shap>=0.42.0",
	"lime>=0.3.0",
	]
	federated = [
	"flwr>=1.5.0",
	]
	all = [
	"myanmar-ghost[dev,xai,federated]",
	]

	[project.urls]
	Homepage = "https://huggingface.co/amkyawdev/Myanmar-Ghost-Instruct"
	Repository = "https://github.com/amkyawdev/myanmar-ghost"
	Documentation = "https://github.com/amkyawdev/myanmar-ghost/docs"

	[tool.setuptools.packages.find]
	where = ["src"]

	[tool.black]
	line-length = 100
	target-version = ["py310", "py311"]
	include = '\.pyi?$'

	[tool.isort]
	profile = "black"
	line_length = 100
	known_first_party = ["myanmar_ghost"]
	skip = ["build/", "dist/"]

	[tool.mypy]
	python_version = "3.10"
	warn_return_any = true
	warn_unused_configs = true
	disallow_untyped_defs = false

	[tool.pytest.ini_options]
	testpaths = ["tests"]
	python_files = ["test_*.py"]
	addopts = "-v --cov=src --cov-report=html --cov-report=term"