semvec/pypi-packages huggingface dataset:
temp-lora-pipeline 0.0.1
An unofficial implementation of Temp-LoRA using Hugging Face transformers pipeline.
Requires Python: >=3.9,<4.0

# <center>temp-lora-pipeline</center>

## Introduction
An unofficial implementation of the paper ["Inference-Time Training: With Greater Text Comes Greater Necessity"](https://arxiv.org/abs/2401.11504) using Hugging Face transformers pipeline.

> 👉 Here is the official (original) implementation by the author: [TemporaryLoRA / Temp-LoRA](https://github.com/TemporaryLoRA/Temp-LoRA)
PyWDCKit 1.0.0.3
UNOFFICIAL Python bindings for Western Digital's WDCKit drive utility
Keywords: python,wdckit,Western Digital,Sandisk,NVMe,SATA,NVMe M.2,SSD,HDD


# PyWDCKit - Python
UNOFFICIAL Python bindings for Western Digital's WDCKit drive utility

A package that allows you to utilize and get data from Western Digital's WDCKit drive utility.

To download WDCKit visit the [official page](https://support-en.wd.com/app/answers/detailweb/a_id/50708/~/wdckit-drive-utility-download-and-instructions-for-internal-drives).

## Install
```PowerShell
pip install PyWDCKit
```

## Usage
```Python
from PyWDCKit import WDCKit, NotRunningAsAdmin, WDCKitNotFound
import logging
logging.basicConfig(
    level=logging.DEBUG,
    format='%(asctime)s | %(levelname)s | %(message)s',
    datefmt='%d-%b-%y %H:%M:%S'
)
wdckit = WDCKit()
try:
    logging.info(f'Found wdckit.exe at {wdckit.exec_path}')
except WDCKitNotFound as e:
    logging.error(e)
print(wdckit.get_duts())
```

Note: The package will automatically try to search for wdckit.exe within the current working directory.