🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
-
Updated
May 16, 2024 - Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Minimalist NMT for educational purposes
A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️
My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.
Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.
This shows how to fine-tune Bert language model and use PyTorch-transformers for text classififcation
Automatically split your PyTorch models on multiple GPUs for training & inference
医药知识图谱自动问答系统实现,包括构建知识图谱、基于知识图谱的流水线问答以及前端实现。实体识别(基于词典+BERT_CRF)、实体链接(Sentence-BERT做匹配)、意图识别(基于提问词+领域词词典)。
Label data using HuggingFace's transformers and automatically get a prediction service
Implementation of the paper Video Action Transformer Network
HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
Minimal implementation of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in OpenAI gym
Source code for "LIMIT-BERT : Linguistics Informed Multi-Task BERT" published at Findings of EMNLP 2020
Generative Pretrained Transformer 2 (GPT-2) for Language Modeling using the PyTorch-Transformers library.
A little Python application to auto tag your photos with the power of machine learning.
State-of-the-art NLP through transformer models in a modular design and consistent APIs.
Determine the polarity of amazon fine food reviews using ULMFiT, BERT, XLNet and RoBERTa
A little Python application to generate pictures from a text prompt. Based on Stable Diffusion.
Forecasting open-high-low-close (OHLC) data with Transformer models
Add a description, image, and links to the pytorch-transformers topic page so that developers can more easily learn about it.
To associate your repository with the pytorch-transformers topic, visit your repo's landing page and select "manage topics."