This is a Pytorch implementation of a summarization model that is fine-tuned on the top of Google-T5 pre-trained model.
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Updated
Feb 2, 2022 - Python
This is a Pytorch implementation of a summarization model that is fine-tuned on the top of Google-T5 pre-trained model.
Collection of my hugging face repos
🤗 Hugging Remix - Building modern user experiences with Hugging Face models focused on Natural Language Processing (NLP) tasks
Mergekit Assistant is a cutting-edge toolkit designed for the seamless merging of pre-trained language models. It supports an array of models, offers various merging methods, and optimizes for low-resource environments with both CPU and GPU compatibility.
URL to App Conversion
Detect or classify input sentences as grammatically correct or incorrect by fine-tuning pre-trained DeBERTa-v3 model
My journey of learning NLP. Contains info about Basic NLP techniques, Hugging Face , GPT3and Spacy
Natural language model AI via HTTP
An image classifier model that can classify 60 parrot species with 93% accuracy
Traductor de español a ingles en la terminal.
Generating headlines for the VICE Youtube channel using BLOOM
How to deploy a BERT model from Hugging Face Model Hub to Amazon SageMaker for a Fill-Mask use case.
Classification of News articles with ML methods and Transformers
This repository focuses on developing a machine Learning model to assess if a twitter post that is related to vaccinations is positive, neutral, or negative.
Explorations and implementations of Deep Reinforcement Learning techniques from the Hugging Face course, featuring DQN and PPO applied to classic and VizDoom environments.
CLI to deploy & query Hugging Face model to Amazon SageMaker
An AI model trained to analyze customer reviews and detect sentiments of. the reviews.
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