🤗 ParsBERT: Transformer-based Model for Persian Language Understanding
-
Updated
Jun 12, 2023 - Jupyter Notebook
🤗 ParsBERT: Transformer-based Model for Persian Language Understanding
This repository is mainly dedicated for listing the recent research advancements in the application of Self-Supervised-Learning in medical images computing field
This repo contains the code of "ConTNet: Why not use convolution and transformer at the same time?"
Datasets and code for results presented in the ProbConserv paper
A python implementation of “Self-Supervised Learning of Spatial Acoustic Representation with Cross-Channel Signal Reconstruction and Multi-Channel Conformer” [TASLP 2024]
[ICLR24] AutoVP: An Automated Visual Prompting Framework and Benchmark
Explore a comprehensive collection of basic theories, applications, papers, and best practices about Large Language Models (LLMs) in genomes.
Create representative records post-record linkage
An open-source implementaion for fine-tuning DINOv2 by Meta.
PLMFit platform for TL on PLMs
A simple project setup tool.
This repository contains the resources, code, and documentation for LlamaLens, a specialized multilingual large language model (LLM) designed to analyze news and social media content effectively. LlamaLens supports multiple languages, including Arabic, English, and Hindi, and is tailored for diverse tasks such as sentiment analysis, misinformation.
An implementation of ELMo embeddings using PyTorch, featuring stacked Bi-LSTMs for contextualized word representations. Pretrained on bidirectional language modeling and evaluated on the AG News dataset for text classification, achieving metrics like accuracy, F1, and precision.
This repository contains implementations of ELMo (Embeddings from Language Models) models trained on a news dataset. Additionally, it includes a classification task using ELMo embeddings.
This library is based on simpletransformers and HuggingFace's Transformers library.
Add a description, image, and links to the downstream-tasks topic page so that developers can more easily learn about it.
To associate your repository with the downstream-tasks topic, visit your repo's landing page and select "manage topics."