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Discover amazing ML apps made by the community

Discover amazing ML apps made by the community

Parler-TTSを基に、日本語でのテキスト読み上げを可能にするよう再学習したモデルです。本モデルは、軽量でありながら高品質な音声生成を提供します。

Model Overview Description: Llama-3.1-Nemotron-70B-Instruct is a large language model customized by NVIDIA to improve the helpfulness of LLM generated responses to user queries. This model reaches Arena Hard of 85.0, AlpacaEval 2 LC of 57.6 and GPT-4-Turbo MT-Bench of 8.98, which are known to be predictive of LMSys Chatbot Arena Elo As of 1 Oct 2024, this model is #1 on all three automatic alignme

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⚡️Pyramid Flow⚡️ [Paper] [Project Page ✨] [Code 🚀] [demo 🤗] This is the official repository for Pyramid Flow, a training-efficient Autoregressive Video Generation method based on Flow Matching. By training only on open-source datasets, it generates high-quality 10-second videos at 768p resolution and 24 FPS, and naturally supports image-to-video generation. 10s, 768p, 24fps 5s, 768p, 24fps Image

A gradio demo for Posterior-Mean Rectified Flow (PMRF)

Import a portrait, click to move the head!

A Gemma 2 2B model fine-tuned on Japanese text. It supports the Japanese language the same level of performance of EN only queries on Gemma 2.

","chat_template":"{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% els

Whisper Whisper is a state-of-the-art model for automatic speech recognition (ASR) and speech translation, proposed in the paper Robust Speech Recognition via Large-Scale Weak Supervision by Alec Radford et al. from OpenAI. Trained on >5M hours of labeled data, Whisper demonstrates a strong ability to generalise to many datasets and domains in a zero-shot setting. Whisper large-v3-turbo is a finet

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AITuber Studio AITuber Studioは、AIを活用したバーチャルYouTuber（VTuber）の制作と配信を支援するアプリケーションです。 主な機能 リアルタイムの音声認識と応答生成 複数のAIモデル（GPT-3.5、GPT-4、Claude、Llama2など）をサポート Live2Dモデルを使用したキャラクターの表示と制御 テキスト読み上げ（TTS）機能 YouTubeライブチャットとの連携 小説モードとゲームモードの搭載 セットアップ 必要なPythonパッケージをインストールします： pip install -r requirements.txt 必要なモデルファイルをダウンロードし、model_assetsフォルダに配置します。 promptフォルダ内のai.txtとai-first.txtファイルを編集して、AIの性格や初期メッセージをカスタマイズします。

Reflection Llama-3.1 70B | IMPORTANT UPDATE – There was an issue with the model when we first uploaded it. If you tried it and didn't have good results, please, try again, we think we've fixed the issue. Reflection Llama-3.1 70B is (currently) the world's top open-source LLM, trained with a new technique called Reflection-Tuning that teaches a LLM to detect mistakes in its reasoning and correct co

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

TF-ID: Table/Figure IDentifier for academic papers Model Summary TF-ID (Table/Figure IDentifier) is a family of object detection models finetuned to extract tables and figures in academic papers created by Yifei Hu. They come in four versions:

OpenAI Whisper - llamafile Whisperfile is a high-performance implementation of OpenAI's Whisper created by Mozilla Ocho as part of the llamafile project, based on the whisper.cpp software written by Georgi Gerganov, et al. Model creator: OpenAI Original models: openai/whisper-release Origin of quantized weights: ggerganov/whisper.cpp The model is packaged into executable weights, which we call whi

Discover amazing ML apps made by the community

Discover amazing ML apps made by the community

FLUX.1 [schnell] is a 12 billion parameter rectified flow transformer capable of generating images from text descriptions. For more information, please read our blog post. Key Features Cutting-edge output quality and competitive prompt following, matching the performance of closed source alternatives. Trained using latent adversarial diffusion distillation, FLUX.1 [schnell] can generate high-quali

","chat_template":"{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}","eos_token":"<|eot_id|>"}},

Discover amazing ML apps made by the community

Apply the motion of a video on a portrait

Kolors: Effective Training of Diffusion Model for Photorealistic Text-to-Image Synthesis 📖 Introduction Kolors is a large-scale text-to-image generation model based on latent diffusion, developed by the Kuaishou Kolors team. Trained on billions of text-image pairs, Kolors exhibits significant advantages over both open-source and proprietary models in visual quality, complex semantic accuracy, and

Discover amazing ML apps made by the community

What is this? Googleの言語モデルgemma-2-27b-itをGGUFフォーマットに変換したものです。 一連の作業前にllama.cppのトークナイザテスト機能(#8248)にて動作の正確性の確認を行いました。 テスト内容 python convert_hf_to_gguf_update.py <hf_token> python convert_hf_to_gguf.py models/tokenizers/gemma-2/ --outfile models/ggml-vocab-gemma-2.gguf --vocab-only test-tokenizer-0 models/ggml-vocab-gemma-2.gguf imatrix dataset 日本語能力を重視し、日本語が多量に含まれるTFMC/imatrix-dataset-for-japanese-ll

Google released Gemma 2, the latest addition to its family of state-of-the-art open LLMs, and we are excited to collaborate with Google to ensure the best integration in the Hugging Face ecosystem. You can find the 4 open-weight models (2 base models & 2 fine-tuned ones) on the Hub. Among the features and integrations being released, we have: Models on the Hub Hugging Face Transformers integration