PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)
-
Updated
Jul 23, 2024
PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)
BETO - Spanish version of the BERT model
DIET Classifier mini implementation on pytorch.
Minimal example of using a traced huggingface transformers model with libtorch
Sentential Semantic Similarity measurement library using BERT Embeddings for spatial distance evaluation.
Extensible implementation of a Language Model (LLM) training framework in Scala.
An ASR (Automatic Speech Recognition) adversarial attack repository.
"Open Source Models with Hugging Face" course empowers you with the skills to leverage open-source models from the Hugging Face Hub for various tasks in NLP, audio, image, and multimodal domains.
An open source community implementation of the model from "DIFFERENTIAL TRANSFORMER" paper by Microsoft.
Multi-Label Text Classification by fine-tuning BERT and XLNet and deployment using Flask
Contextual Emotion Detection in Text (DoubleDistilBert Model)
AllenNLP integration for Shiba: Japanese CANINE model
Training a BERT model from scratch.
A study to benchmark whisper based ASRs in Malayalam
A dedicated convenient repo for different Music Transformers implementations (Reformer/XTransformer/Sinkhorn/etc)
ML (Machine Learning)/NLP project for extraction of Names, Aadhar ID, PAN numbers. It uses Pytesseract OCR for extracting text from images, and uses Hugging Face NER model for Name extraction and regex library for extracting PAN and Aadhaar ID numbers.
Resources regarding Transformers library
BetterSearch is a desktop search tool that brings natural language to traditional file search.
PyTorch code for cross-modal-retrieval on Flickr8k/30k using Bert and EfficientNet
Email synthesis using state-of-the-art Natural Language Processing (NLP) techniques
Add a description, image, and links to the transformers-library topic page so that developers can more easily learn about it.
To associate your repository with the transformers-library topic, visit your repo's landing page and select "manage topics."