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Image Classification

mobilevit-small

Edit model card MobileViT (small-sized model) Model description Intended uses & limitations How to use Training data Training procedure Preprocessing Pretraining Evaluation results BibTeX entry and citation info MobileViT (small-sized model) MobileViT model pre-trained on ImageNet-1k at resolution 256x256. It was introduced in MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer by Sachin Mehta…
March 5, 20240Likes0Comments
Reinforcement Learning

demo-hf-CartPole-v1

Edit model card PPO Agent playing CartPole-v1 Usage (with Stable-baselines3) PPO Agent playing CartPole-v1 This is a trained model of a PPO agent playing CartPole-v1 using the stable-baselines3 library. Usage (with Stable-baselines3) TODO: Add your code from stable_baselines3 import ... from huggingface_sb3 import load_from_hub ... Source link
March 5, 20240Likes0Comments
Text-to-Speech

persian-tts-female-vits

Edit model card persian-tts-female-vits Uses How to Get Started with the Model persian-tts-female-vits persian-tts-female vits model for text to speech purposes. Persian فارسی Single-speaker female voice Trained on persian-tts-dataset-male dataset GitHub Repo Demo Uses Install dependencies: !pip install TTS !sudo apt-get -y install espeak-ng Generate audio from text: …
March 5, 20240Likes0Comments
Text-to-Speech

persian-tts-female-glow_tts

Edit model card persian-tts-female-glow_tts Uses How to Get Started with the Model persian-tts-female-glow_tts persian-tts-female glow_tts model for text to speech purposes. Persian فارسی Single-speaker female voice Trained on persian-tts-dataset-famale GitHub Repo Uses Install dependencies: !pip install TTS !sudo apt-get -y install espeak-ng Generate audio from text: using cli: !tts --text…
March 5, 20240Likes0Comments
NLP

Smarter.codes

Start up Profile The company focuses on E-commerce, banking, customer support, medical & nutrition, IoT & robotics. They are concentrated in unified algorithm architecture to achieve human-level intelligence in language. Smarter.codes helps to add layer of intelligence to applications and devices with its machine intelligence platform in the cloud. It provides…
March 5, 20240Likes0Comments
Machine Learning

Meet BiLLM: A Novel Post-Training Binary Quantization Method Specifically Tailored for Compressing Pre-Trained LLMs

Pretrained large language models (LLMs) boast remarkable language processing abilities but require substantial computational resources. Binarization, which reduces model weights to a single bit, offers a solution by drastically reducing computation and memory demands. However, existing quantization techniques must help maintain LLM performance at such low bit widths. This challenges achieving efficient deployment of LLMs…
March 5, 20240Likes0Comments
Machine Learning

Stanford and UT Austin Researchers Propose Contrastive Preference Learning (CPL): A Simple Reinforcement Learning RL-Free Method for RLHF that Works with Arbitrary MDPs and off-Policy Data

The challenge of matching human preferences to big pretrained models has gained prominence in the study as these models have grown in performance. This alignment becomes particularly challenging when there are unavoidably poor behaviours in bigger datasets. For this issue, reinforcement learning from human input, or RLHF has become popular. RLHF approaches use human preferences…
March 5, 20240Likes0Comments