Text Generation
Transformers
Burmese
English
myanmar
burmese
llm
chat
instruction-following
conversational
autoregressive
Instructions to use amkyawdev/myanmar-ghost with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
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", device_map="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
Add pyproject.toml
Browse files- pyproject.toml +81 -0
pyproject.toml
ADDED
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| 1 |
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[build-system]
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| 2 |
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requires = ["setuptools>=68.0", "wheel"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "myanmar-ghost"
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version = "1.0.0"
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description = "Advanced Myanmar Language Understanding Model with Multi-Modal Fusion"
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readme = "README.md"
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requires-python = ">=3.10"
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license = {text = "Apache-2.0"}
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authors = [
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{name = "Aung Myo Kyaw", email = "amkyawdev@example.com"}
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]
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keywords = ["myanmar", "nlp", "llm", "multimodal", "burmese", "speech-recognition"]
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classifiers = [
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"Development Status :: 4 - Beta",
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"Intended Audience :: Developers",
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"Intended Audience :: Science/Research",
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"License :: OSI Approved :: Apache Software License",
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"Programming Language :: Python :: 3.10",
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"Programming Language :: Python :: 3.11",
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]
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dependencies = [
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"torch>=2.0.0",
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"transformers>=4.35.0",
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"peft>=0.7.0",
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"datasets>=2.14.0",
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"librosa>=0.10.0",
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"shap>=0.42.0",
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"flwr>=1.5.0",
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]
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[project.optional-dependencies]
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dev = [
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"pytest>=7.4.0",
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"black>=23.0.0",
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"isort>=5.12.0",
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"mypy>=1.7.0",
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]
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xai = [
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"shap>=0.42.0",
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"lime>=0.3.0",
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]
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federated = [
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"flwr>=1.5.0",
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]
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all = [
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"myanmar-ghost[dev,xai,federated]",
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]
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[project.urls]
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Homepage = "https://huggingface.co/amkyawdev/Myanmar-Ghost-Instruct"
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Repository = "https://github.com/amkyawdev/myanmar-ghost"
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Documentation = "https://github.com/amkyawdev/myanmar-ghost/docs"
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[tool.setuptools.packages.find]
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where = ["src"]
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[tool.black]
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line-length = 100
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target-version = ["py310", "py311"]
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include = '\.pyi?$'
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[tool.isort]
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profile = "black"
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line_length = 100
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known_first_party = ["myanmar_ghost"]
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skip = ["build/", "dist/"]
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[tool.mypy]
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python_version = "3.10"
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warn_return_any = true
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warn_unused_configs = true
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disallow_untyped_defs = false
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[tool.pytest.ini_options]
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testpaths = ["tests"]
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python_files = ["test_*.py"]
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addopts = "-v --cov=src --cov-report=html --cov-report=term"
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