semvec/pypi-packages huggingface dataset:
siambomber 14
A Powerful Spamming Tool Made By Siam Rahman
License: MIT
Requires Python: >=3.6
Keywords: siambomber,siamphisher,SiamRahman,Haxorsiam,bomber,call,prank,PHISHER,hack,sms bomber,sms bomber,SIAMRAHMAN


```
<|~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~|>
<|               COPYRIGHT - 2023 By SIAM RAHMAN                     |>
<|-------------------------------------------------------------------|>
<|-------------------------------------------------------------------|>
<|                                                                   |>
<|           [S]|> AUTHOR    :   SIAM RAHMAN(HAXOR SIAM              |>
<|           [I]|> GITHUB    :   SIAMRAHMAN000                       |>
<|           [A]|> FACEBOOK  :   SKILLSIAM1245                       |>
<|           [M]|> INSTAGRAM :   SKILSIAM                            |>
<|           [?]|> TOOL      :   SMS BOMBER                          |>
<|           [#]|> CODE      :   PYTHON                              |>
<|                                                                   |>
<|-------------------------------------------------------------------|>
<|-------------------------------------------------------------------|>
<|~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~|>
```
# STEP 1
```
pip uninstall siambomber
```
# STEP 2
```
pip install siambomber
```
# STEP 3
### TYPE :
```
siambomber
```
<h1 align="center"> TOOL RUN SUCCESS .</h1>
gpt4-torch 0.0.3
GPT4 - Pytorch
License: MIT
Requires Python: >=3.6,<4.0
Keywords: artificial intelligence,attention mechanism,transformers

[![Multi-Modality](agorabanner.png)](https://discord.gg/qUtxnK2NMf)



# GPT4
The open source implementation of the base model behind GPT-4 from OPENAI [Language + Multi-Modal], click here for the [Research Paper](https://arxiv.org/pdf/2303.08774.pdf)


# Installation
`pip install gpt4-torch`


# Usage

Here's an illustrative code snippet that showcases GPT-3 in action:


```python
import torch
from gpt4 import GPT4

# Generate a random input sequence
x = torch.randint(0, 256, (1, 1024)).cuda()

# Initialize GPT-3 model
model = GPT4()

# Pass the input sequence through the model
output = model(x)
```

## MultiModal Iteration
* Pass in text and and image tensors into GPT4
```python
import torch
from gpt4.gpt4 import GPT4MultiModal

#usage
img = torch.randn(1, 3, 256, 256)
text = torch.randint(0, 20000, (1, 1024))


model = GPT4MultiModal()
output = model(text, img)

```


# 📚 Training

```python
from gpt4 import train

train()

```

For further instructions, refer to the [Training SOP](DOCs/TRAINING.md).


1. Set the environment variables:
   - `ENTITY_NAME`: Your wandb project name
   - `OUTPUT_DIR`: Directory to save the weights (e.g., `./weights`)
   - `MASTER_ADDR`: For distributed training
   - `MASTER_PORT` For master port distributed training
   - `RANK`- Number of nodes services
   - `WORLD_SIZE` Number of gpus

2. Configure the training:
   - Accelerate Config
   - Enable Deepspeed 3
   - Accelerate launch train_distributed_accelerate.py

For more information, refer to the [Training SOP](DOCs/TRAINING.md).
deepler 0.1.2
deepler is a learning support tool that records the number of words that appear through DeepL. You can learn frequently used words efficiently.
License: MIT
Requires Python: >=3.9,<4.0

# deepler

deepler is a learning support tool that records the number of words that appear through DeepL.
You can learn frequently used words efficiently.

```bash
# DeepL API Free Plan is here.
# https://www.deepl.com/pro#developer
$ export DEEPL_AUTH_KEY=<YOUR API KEY>

$ pip install deepler
$ deepler
usage: deepler [-h] {translate,hist,configure} ...
deepler: error: the following arguments are required: {translate,hist,configure}
```

## Overview

```bash
# default configuration
$ deepler configure --show
{
  "ignores": [],
  "hist_file": "~/.config/deepler/counts.json",
  "min_length": 4,
  "source_lang": "EN",
  "target_lang": "JA",
  "count_lang": "EN"
}

$ deepler translate --text "deepler is a learning support tool that records the number of words that appear through DeepL."
input text(EN)
deepler is a learning support tool that records the number of words that appear through DeepL.

output text(JA)
deeplerは、DeepLを通じて出現した単語の数を記録する学習支援ツールです。

$ deepler hist
('that', 2)
('deepler', 1)
('learning', 1)
('support', 1)
('tool', 1)
('records', 1)
('number', 1)
('words', 1)
('appear', 1)
('through', 1)
('deepl', 1)

$ deepler translate --text "deepler is a learning support tool that records the number of words that appear through DeepL."
input text(EN)
deepler is a learning support tool that records the number of words that appear through DeepL.

output text(JA)
deeplerは、DeepLを通じて出現した単語の数を記録する学習支援ツールです。

$ poetry run deepler hist --num-words 3                                                                                                                                                                                                       [main]
('that', 4)
('deepler', 2)
('learning', 2)

$ poetry run deepler hist --min-count 3                                                                                                                                                                                                       [main]
('that', 4)
```

**Currently, only space-separated languages can be counted.**