Text&Writing
Enhance your email productivity with MailMaestro. Enjoy AI-assisted email summaries, unique style personalization, and top-quality drafts. Check our features today!
249.34 K
Summarize and Translate with Gemini Gemini是一个基于人工智能的多语言翻译和文本摘要工具。它可以将长篇文本转换为简洁的摘要，同时提供多种语言的翻译选项。 #Key Features * Multilingual Translation: Gemini支持多种语言的翻译，包括英语、法语、德语、西班牙语、葡萄牙语、意大利语、荷兰语、俄语、中文、日语和韩语等。 * Text Summarization: Gemini可以将长篇文本转换为简洁的摘要，帮助用户快速了解文本的主要内容。 * AI-powered: Gemini基于人工智能技术，能够智能地识别和处理语言，提供高质量的翻译和摘要结果。 #How to Use Gemini 1. Copy and Paste: 将需要翻译或摘要的文本复制并粘贴到Gemini的输入框中。 2. Select Language: 选择需要翻译的语言或摘要的格式。 3. Get Result: Gemini将提供翻译或摘要结果，用户可以根据需要进行调整和编辑。 #Benefits * Save Time: Gemini可以快速地翻译和摘要长篇文本，节省用户的时间和精力。 * Improve Efficiency: Gemini的翻译和摘要结果可以帮助用户更好地理解和处理文本，提高工作效率。 * Enhance Productivity: Gemini可以帮助用户更好地与他人交流和合作，提高生产力和效率。
Summarize and Translate with Gemini Gemini是一个基于人工智能的多语言翻译和文本摘要工具。它可以将长篇文本转换为简洁的摘要，同时提供多种语言的翻译选项。 #Key Features * Multilingual Translation: Gemini支持多种语言的翻译，包括英语、法语、德语、西班牙语、葡萄牙语、意大利语、荷兰语、俄语、中文、日语和韩语等。 * Text Summarization: Gemini可以将长篇文本转换为简洁的摘要，帮助用户快速了解文本的主要内容。 * AI-powered: Gemini基于人工智能技术，能够智能地识别和处理语言，提供高质量的翻译和摘要结果。 #How to Use Gemini 1. Copy and Paste: 将需要翻译或摘要的文本复制并粘贴到Gemini的输入框中。 2. Select Language: 选择需要翻译的语言或摘要的格式。 3. Get Result: Gemini将提供翻译或摘要结果，用户可以根据需要进行调整和编辑。 #Benefits * Save Time: Gemini可以快速地翻译和摘要长篇文本，节省用户的时间和精力。 * Improve Efficiency: Gemini的翻译和摘要结果可以帮助用户更好地理解和处理文本，提高工作效率。 * Enhance Productivity: Gemini可以帮助用户更好地与他人交流和合作，提高生产力和效率。Summarize and Translate Web Pages This tool utilizes Gemini as its backend to provide a convenient way to summarize and translate web pages.
290.25 M
Siuuu.ai provides personalized writing tools for writers, students, educators, marketing professionals, and others. Our goal is to support and enhance your writing experience across a wide range of content types, including novels, research papers, marketing emails, blogs, and more.
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Screenshot any part of a webpage, and Blenny will instantly help you summarize, translate, apply custom agents, and do more.
290.25 M
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* Create a new notebook
* Install the `transformers` library by running `!pip install transformers`
* Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')`
* Use the model to generate text using `input_text = "Your input here"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))`
Method 2: Google Apps Script
* Open Google Apps Script ([script.google.com](http://script.google.com))
* Create a new project
* Install the `transformers` library by running `npm install transformers`
* Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');`
* Use the model to generate text using `const inputText = "Your input here"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));`
Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.](https://static.right-ai.com/tools/2024/7/3/chromewebstore-google-com-detail-chatgpt-for-google-for-fr-pabeminldebomngnkgffiejipjjaaogi-thumbnail-1720037311.png "Get ChatGPT for Free with Google
You can now access ChatGPT, a powerful language model, for free with Google. Here's how:
Method 1: Google Colab
* Open Google Colab ([colab.research.google.com](http://colab.research.google.com))
* Create a new notebook
* Install the `transformers` library by running `!pip install transformers`
* Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')`
* Use the model to generate text using `input_text = \"Your input here\"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))`
Method 2: Google Apps Script
* Open Google Apps Script ([script.google.com](http://script.google.com))
* Create a new project
* Install the `transformers` library by running `npm install transformers`
* Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');`
* Use the model to generate text using `const inputText = \"Your input here\"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));`
Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.")
Get ChatGPT for Free with Google You can now access ChatGPT, a powerful language model, for free with Google. Here's how: Method 1: Google Colab * Open Google Colab ([colab.research.google.com](http://colab.research.google.com)) * Create a new notebook * Install the `transformers` library by running `!pip install transformers` * Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')` * Use the model to generate text using `input_text = "Your input here"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))` Method 2: Google Apps Script * Open Google Apps Script ([script.google.com](http://script.google.com)) * Create a new project * Install the `transformers` library by running `npm install transformers` * Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');` * Use the model to generate text using `const inputText = "Your input here"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));` Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.
Get ChatGPT for Free with Google You can now access ChatGPT, a powerful language model, for free with Google. Here's how: Method 1: Google Colab * Open Google Colab ([colab.research.google.com](http://colab.research.google.com)) * Create a new notebook * Install the `transformers` library by running `!pip install transformers` * Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')` * Use the model to generate text using `input_text = "Your input here"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))` Method 2: Google Apps Script * Open Google Apps Script ([script.google.com](http://script.google.com)) * Create a new project * Install the `transformers` library by running `npm install transformers` * Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');` * Use the model to generate text using `const inputText = "Your input here"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));` Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.How to Add ChatGPT to All Google Searches ===================================================== Step 1: Create a Custom Search Engine -------------------------------------- * Go to the [Google Custom Search Engine](https://cse.google.com/) website and sign in with your Google account. * Click on the "New Search Engine" button. * Fill in the required information, such as the name and description of your search engine. * Click on the "Create" button. Step 2: Add ChatGPT to the Search Engine ----------------------------------------- * In the "Setup" tab, click on the "Add" button next to "Sites to search". * Enter the following URL: `https://chat.openai.com/` * Click on the "Add" button. Step 3: Configure the Search Engine -------------------------------------- * In the "Setup" tab, click on the "Edit" button next to "Search engine keywords". * Add the following keywords: `ChatGPT` * Click on the "Save" button. Step 4: Get the Search Engine Code ------------------------------------- * In the "Setup" tab, click on the "Get code" button. * Copy the HTML code provided. Step 5: Add the Search Engine to Your Browser ------------------------------------------------ * Open your browser and go to the "Settings" or "Options" page. * Look for the "Search engine" or "Default search engine" option. * Click on the "Add" or "Manage search engines" button. * Paste the HTML code you copied earlier. * Click on the "Add" or "Save" button. You're Done! =============== Now, whenever you search on Google, ChatGPT will be included in the search results. You can also use the custom search engine URL provided by Google to search directly.
290.25 M
The CatPaw Ai keyboard is powered by your own trusted ChatGPT / Gemini API service, designed to enhance your input efficiency. It supports customizable AI commands for a more personalized experience.
120.34 M
Supports English voice engine for chatgpt.com, making conversations more natural and interactions smoother.
290.25 M
Transcription AI that turns your audio and video files into text or subtitles. It is fast, easy to use, and free to try. Easily summarize your files with our AI.
2.13 K
Toolquix: Elevate your social media presence with our comprehensive SMM panel. Access likes, followers, shares, and more for Instagram, Facebook, Twitter, YouTube, TikTok, and Telegram. Trusted by thousands for fast, reliable, and high-quality social media services.
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ChatTTS is a voice generation model on GitHub at 2noise/chattts. Chat TTS is specifically designed for conversational scenarios. It is ideal for applications such as dialogue tasks for large language model assistants, as well as conversational audio and video introductions. The model supports both Chinese and English, demonstrating high quality and naturalness in speech synthesis. This level of performance is achieved through training on approximately 100,000 hours of Chinese and English data. Additionally, the project team plans to open-source a basic model trained with 40,000 hours of data, which will aid the academic and developer communities in further research and development.
41.01 K
Stable Diffusion 3 Medium is the latest and most advanced text-to-image AI model. You can use the Stable Diffusion 3 Medium demo online for free.
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