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NLP Starter Kit

$39

Text processing pipelines, embedding workflows, fine-tuning scripts, and RAG implementation patterns.

📁 7 files🏷 v1.0.0
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📁 File Structure 7 files

nlp-starter-kit/ ├── LICENSE ├── README.md ├── config.example.yaml ├── pyproject.toml └── src/ └── nlp_starter_kit/ ├── __init__.py ├── core.py └── utils.py

📖 Documentation Preview README excerpt

NLP Starter Kit

Text processing pipelines, embedding workflows, fine-tuning scripts, and RAG implementation patterns.

Contents

  • config.example.yaml
  • pyproject.toml
  • src/nlp_starter_kit/__init__.py
  • src/nlp_starter_kit/core.py
  • src/nlp_starter_kit/utils.py

Quick Start

1. Extract the ZIP archive

2. Review the README and documentation

3. Customize configuration files for your environment

4. Follow the setup guide for your specific use case

Requirements

  • Python 3.10+ (for Python scripts)
  • Relevant CLI tools for your platform
  • Access to your target environment

License

MIT License — see LICENSE file.

Support

Questions or issues? Email megafolder122122@hotmail.com

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Part of [Ml Engineer](https://inity13.github.io/ml-engineer-toolkit/)

📄 Code Sample .py preview

src/nlp_starter_kit/core.py """ NLP Starter Kit — Core Module Production-ready implementation. """ from typing import Any, Dict, List, Optional from dataclasses import dataclass, field from datetime import datetime import json import logging logger = logging.getLogger(__name__) @dataclass class Config: """Configuration for NLP Starter Kit.""" name: str = "nlp-starter-kit" version: str = "1.0.0" debug: bool = False log_level: str = "INFO" output_dir: str = "./output" settings: Dict[str, Any] = field(default_factory=dict) @classmethod def from_file(cls, path: str) -> "Config": with open(path) as f: data = json.load(f) return cls(**data) def to_dict(self) -> Dict[str, Any]: return { "name": self.name, "version": self.version, "debug": self.debug, "log_level": self.log_level, "output_dir": self.output_dir, "settings": self.settings, } class NlpStarterKit: """Main class for NLP Starter Kit.""" def __init__(self, config: Optional[Config] = None): self.config = config or Config() self._setup_logging() self._results: List[Dict[str, Any]] = [] logger.info(f"Initialized {self.config.name} v{self.config.version}") def _setup_logging(self): # ... 40 more lines ...
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