Indonesian RoBERTa Base Sentiment Classifier Indonesian RoBERTa Base Sentiment Classifier is a sentiment-text-classification model based on the RoBERTa model. The model was originally the pre-trained Indonesian RoBERTa Base model,…

bert-base-multilingual-uncased-sentiment This is a bert-base-multilingual-uncased model finetuned for sentiment analysis on product reviews in six languages: English, Dutch, German, French, Spanish, and Italian. It predicts the sentiment of the…

MiniLM: Small and Fast Pre-trained Models for Language Understanding and Generation MiniLM is a distilled model from the paper "MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers".…

Model Trained Using AutoNLP Problem type: Multi-class Classification Model ID: 5521155 Validation Metrics Loss: 1.3173143863677979 Accuracy: 0.8220706757594545 Macro F1: 0.5713688384455807 Micro F1: 0.8220706757594544 Weighted F1: 0.8217158913702755 Macro…

mdhugol/indonesia-bert-sentiment-classification Text Classification • Updated Sep 14, 2021 • 45.3k • 17 Source link

Passage Reranking Multilingual BERT 🔃 🌍 Model description Input: Supports over 100 Languages. See List of supported languages for all available. Purpose: This module takes a search…

Model Card for deberta-v3-base-prompt-injection This model is a fine-tuned version of microsoft/deberta-v3-base on multiple combined datasets of prompt injections and normal prompts. It aims to identify prompt injections, classifying…