Mozilla/whisperfile · Hugging Face
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
black-forest-labs/FLUX.1-schnell · Hugging Face
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
Evo-Ukiyoe - a Hugging Face Space by SakanaAI
Discover amazing ML apps made by the community
ykilcher/gpt-4chan · Hugging Face
Given its research scope, intentionally using the model for generating harmful content (non-exhaustive examples: hate speech, spam generation, fake news, harassment and abuse, disparagement, and defamation) on all websites where bots are prohibited is considered a misuse of this model. Head over to the Community page for further discussion and potential next steps. GPT-4chan Hugging Face has decid
aipicasso/emi-2 · Hugging Face
Emi 2 Model Card はじめに Emi 2 (Ethereal master of illustration 2) は、 最先端の開発機材H100を用いた画像生成Emiを用いて AI Picasso社が開発したAIアートに特化した画像生成AIです。 このモデルの特徴として、Danbooruなどにある無断転載画像を学習していないことがあげられます。 使い方 ここからデモを利用することができます。 本格的に利用する人はここからモデルをダウンロードできます。 シンプルな作品例 positive prompt: 1girl, close-up, brown bob short hair, brown eyes, smile:0.1, looking at viewer, cherry blossom negative prompt: (embedding:unaestheticXLv3
microsoft/Phi-3-mini-128k-instruct · Hugging Face
","chat_template":"{% for message in messages %}{% if message['role'] == 'system' %}{{'<|system|>\n' + message['content'] + '<|end|>\n'}}{% elif message['role'] == 'user' %}{{'<|user|>\n' + message['content'] + '<|end|>\n'}}{% elif message['role'] == 'assistant' %}{{'<|assistant|>\n' + message['content'] + '<|end|>\n'}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>\n' }}{%
meta-llama/Meta-Llama-3-70B-Instruct · Hugging Face
META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024 \"Agreement\" means the terms and conditions for use, reproduction, distribution and modification of the Llama Materials set forth herein. \"Documentation\" means the specifications, manuals and documentation accompanying Meta Llama 3 distributed by Meta at https://llama.meta.com/get-started/. \"Licensee\"
Agents and tools
What is an agent? Large Language Models (LLMs) trained to perform causal language modeling can tackle a wide range of tasks, but they often struggle with basic tasks like logic, calculation, and search. When prompted in domains in which they do not perform well, they often fail to generate the answer we expect them to. One approach to overcome this weakness is to create an agent. An agent is a sys
rinna/japanese-hubert-base · Hugging Face
rinna/japanese-hubert-base","children":[],"isValid":true,"title":"rinna/japanese-hubert-base"},{"id":"overview","label":"Overview","children":[],"isValid":true,"title":"Overview"},{"id":"how-to-use-the-model","label":"How to use the model","children":[],"isValid":true,"title":"How to use the model"},{"id":"how-to-cite","label":"How to cite","children":[],"isValid":true,"title":"How to cite"},{"id"
mosaicml/mpt-7b · Hugging Face
","eos_token":"<|endoftext|>","unk_token":"<|endoftext|>"}},"createdAt":"2023-05-05T00:48:02.000Z","discussionsDisabled":false,"downloads":47824,"downloadsAllTime":1549340,"id":"mosaicml/mpt-7b","isLikedByUser":false,"isWatchedByUser":false,"inference":"explicit-opt-out","lastModified":"2024-03-05T20:23:57.000Z","likes":1154,"pipeline_tag":"text-generation","library_name":"transformers","libraries
What is Image-to-Text? - Hugging Face
Image to text models output a text from a given image. Image captioning or optical character recognition can be considered as the most common applications of image to text. Use Cases Image Captioning Image Captioning is the process of generating textual description of an image. This can help the visually impaired people to understand what's happening in their surroundings. Optical Character Recogn
prompthero/openjourney · Hugging Face
Openjourney is an open source Stable Diffusion fine tuned model on Midjourney images, by PromptHero Include 'mdjrny-v4 style' in prompt. Here you'll find hundreds of Openjourney prompts Openjourney Links Lora version Openjourney v4 Want to learn AI art generation?: Crash course in AI art generation Learn to fine-tune Stable Diffusion for photorealism Use it for free: Stable Diffusion v1.5 vs Openj
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weblab-GENIAC/Tanuki-8x8B-dpo-v1.0 · Hugging Face
Evo-Nishikie - a Hugging Face Space by SakanaAI
GitHub - huggingface/chat-ui: Open source codebase powering the HuggingChat app
HuggingChat
cyberagent (CyberAgent)
Stablelm Jp Alpha - a Hugging Face Space by leemeng
Hugging Face Hub documentation
https://twitter.com/npaka123/status/1629233091897339904