Topic: huggingface-transformers Goto Github
Some thing interesting about huggingface-transformers
Some thing interesting about huggingface-transformers
huggingface-transformers,Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
Organization: amazon-science
Home Page: https://arxiv.org/abs/2403.07815
huggingface-transformers,Shush is an app that deploys a WhisperV3 model with Flash Attention v2 on Modal and makes requests to it via a NextJS app
User: arihanv
Home Page: https://shush.arihanv.com
huggingface-transformers,Phoneme Recognition using pre-trained models Wav2vec2, HuBERT and WavLM. Throughout this project, we compared specifically three different self-supervised models, Wav2vec (2019, 2020), HuBERT (2021) and WavLM (2022) pretrained on a corpus of English speech that we will use in various ways to perform phoneme recognition for different languages with a network trained with Connectionist Temporal Classification (CTC) algorithm.
Organization: asr-project
huggingface-transformers,Amazon SageMaker Local Mode Examples
Organization: aws-samples
huggingface-transformers,Post-process Amazon Textract results with Hugging Face transformer models for document understanding
Organization: aws-samples
huggingface-transformers,Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.
Organization: aws-samples
huggingface-transformers,Sentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank.
User: barissayil
huggingface-transformers,Indonesian Language Models and its Usage
User: cahya-wirawan
Home Page: https://cahya-wirawan.github.io/indonesian-language-models
huggingface-transformers,🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
User: christianversloot
huggingface-transformers,[2021 훈민정음 한국어 음성•자연어 인공지능 경진대회] 대화요약 부문 알라꿍달라꿍 팀의 대화요약 학습 및 추론 코드를 공유하기 위한 레포입니다.
User: cosmoquester
huggingface-transformers,extending stable diffusion prompts with suitable style cues using text generation
User: daspartho
Home Page: https://huggingface.co/spaces/daspartho/prompt-extend
huggingface-transformers,MLOps for Vision Models (TensorFlow) from 🤗 Transformers with TensorFlow Extended (TFX)
User: deep-diver
huggingface-transformers,A convenient way to link, deduplicate, aggregate and cluster data(frames) in Python using deep learning
Organization: dell-research-harvard
Home Page: https://linktransformer.github.io/
huggingface-transformers,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
User: denis2054
Home Page: https://denis2054.github.io/Transformers-for-NLP-2nd-Edition/
huggingface-transformers,This repo is the home of Romanian Transformers.
User: dumitrescustefan
huggingface-transformers,QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.
User: geekjr
huggingface-transformers,Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.
Organization: geeks-of-data
Home Page: https://pypi.org/project/knowledgegpt/
huggingface-transformers,Multimodal model for text and tabular data with HuggingFace transformers as building block for text data
Organization: georgian-io
Home Page: https://multimodal-toolkit.readthedocs.io
huggingface-transformers,:no_entry: [DEPRECATED] Adapt Transformer-based language models to new text domains
Organization: georgian-io
huggingface-transformers,KLUE 데이터를 활용한 HuggingFace Transformers 튜토리얼
User: huffon
huggingface-transformers,Fast Inference Solutions for BLOOM
Organization: huggingface
huggingface-transformers,[ACL 2024] User-friendly evaluation framework: Eval Suite & Benchmarks: UHGEval, HaluEval, HalluQA
Organization: iaar-shanghai
Home Page: https://aclanthology.org/2024.acl-long.288/
huggingface-transformers,Easy-Translate is a script for translating large text files with a SINGLE COMMAND. Easy-Translate is designed to be as easy as possible for beginners and as seamlesscustomizable and as possible for advanced users.
User: ikergarcia1996
huggingface-transformers,🎤📄 An innovative tool that transforms audio or video files into text transcripts and generates concise meeting minutes. Stay organized and efficient in your meetings, and get ready for Phase 2 where we'll be open for contributions to enable real-time meeting transcription! 🚀
User: inboxpraveen
huggingface-transformers,Data processing with ML and LLM
Organization: katanaml
Home Page: https://katanaml.io
huggingface-transformers,Package to compute Mauve, a similarity score between neural text and human text. Install with `pip install mauve-text`.
User: krishnap25
Home Page: https://krishnap25.github.io/mauve/
huggingface-transformers,Simple UI for LLM Model Finetuning
User: lxe
huggingface-transformers,A codebase that makes differentially private training of transformers easy.
User: lxuechen
Home Page: https://arxiv.org/abs/2110.05679
huggingface-transformers,Code and Data artifact for NeurIPS 2023 paper - "Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context". `multispy` is a lsp client library in Python intended to be used to build applications around language servers.
Organization: microsoft
huggingface-transformers,Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone
Organization: nvlabs
Home Page: https://arxiv.org/abs/2407.08083
huggingface-transformers,Social networking platform with automated content moderation and context-based authentication system
User: nz-m
Home Page: https://socialecho.netlify.app
huggingface-transformers,Open Source Generative Process Automation (i.e. Generative RPA). AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual Language (VLMs)) Models
Organization: openadaptai
Home Page: https://www.OpenAdapt.AI
huggingface-transformers,Learn Cloud Applied Generative AI Engineering (GenEng) using OpenAI, Gemini, Streamlit, Containers, Serverless, Postgres, LangChain, Pinecone, and Next.js
Organization: panaverse
huggingface-transformers,Exact structure out of any language model completion.
User: r2d4
huggingface-transformers,Label, clean and enrich text datasets with LLMs.
Organization: refuel-ai
Home Page: https://docs.refuel.ai/
huggingface-transformers,A tool for generating function arguments and choosing what function to call with local LLMs
User: rizerphe
Home Page: https://local-llm-function-calling.readthedocs.io/
huggingface-transformers,Efficient and scalable serverless inference for large AI models.
Organization: serverlessllm
Home Page: https://serverlessllm.github.io/
huggingface-transformers,Build and train state-of-the-art natural language processing models using BERT
User: sudharsan13296
Home Page: https://www.amazon.com/gp/product/B08LLDF377/ref=dbs_a_def_rwt_bibl_vppi_i5
huggingface-transformers,a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.
Organization: tencent
huggingface-transformers,A comprehensive, unified and modular event extraction toolkit.
Organization: thu-keg
Home Page: https://omnievent.readthedocs.io/
huggingface-transformers,UBC ARBERT and MARBERT Deep Bidirectional Transformers for Arabic
Organization: ubc-nlp
huggingface-transformers,Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at [email protected].
Organization: unitaryai
Home Page: https://www.unitary.ai/
huggingface-transformers,Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️
Organization: unum-cloud
Home Page: https://unum-cloud.github.io/uform/
huggingface-transformers,Low latency JSON generation using LLMs ⚡️
User: varunshenoy
huggingface-transformers,Dreambooth implementation based on Stable Diffusion with minimal code.
User: victarry
huggingface-transformers,Guide: Finetune GPT2-XL (1.5 Billion Parameters) and finetune GPT-NEO (2.7 B) on a single GPU with Huggingface Transformers using DeepSpeed
User: xirider
huggingface-transformers,[EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models
Organization: xlang-ai
Home Page: https://arxiv.org/abs/2201.05966
huggingface-transformers,中文nlp解决方案(大模型、数据、模型、训练、推理)
User: yuanzhoulvpi2017
huggingface-transformers,[COLM-2024] List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMs
User: zzxslp
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