Huggingface-transformer Libraries

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Huggingface-transformer Libraries

Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL-E including jump starting GPT-4, speech-to-text, text-to-speech, text to image generation with DALL-E, Google Cloud AI,HuggingGPT, and more

Last updated: November 19,2023 Just look for the Dolphin 🐬 and enjoy your ride into the future of AI! To run these notebooks on a cloud platform, just click on one of the badges in the table below or…

Learn Cloud Applied Generative AI Engineering (GenEng) using OpenAI, Gemini, Streamlit, Containers, Serverless, Postgres, LangChain, Pinecone, and Next.js

Note: If possible register your account with a company email address. Once you have a subscription id apply for Azure Open AI Service here: GenEng revolution being led by developers who build deep pr…

Repository for Project Insight: NLP as a Service

The downstream NLP tasks covered: News Classification Entity Recognition Sentiment Analysis Summarization The user can select different models from the drop down to run the inference. The users can a…

Amazon SageMaker Local Mode Examples

This repository contains examples and related resources showing you how to preprocess, train, debug your training script with breakpoints, and serve on your local machine using Amazon SageMaker Local…

Deploy-BERT-for-Sentiment-Analysis-with-FastAPI

Deploy BERT for Sentiment Analysis as REST API using FastAPI, Transformers by Hugging Face and PyTorch

Deploy a pre-trained BERT model for Sentiment Analysis as a REST API using FastAPI The model is trained to classify sentiment (negative, neutral, and positive) on a custom dataset from app reviews on…

QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.

Announcement video When I started to get into more advanced Machine Learning, I started to see how these famous neural network architectures(such as EfficientNet), were doing amazing things. However,…

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