Feb 24, 2025 路 9 min read 路 Fine-tuning transformer models for sentence similarity has become an essential task in natural language processing (NLP), enabling applications such as search engines, chatbots, and text summarization. In this study, we explore NanoBERT, a lightweigh...
Join discussionJan 28, 2025 路 3 min read 路 馃搶 Obiettivo: Estrarre nomi di persone da documenti lunghi riducendo i falsi positivi.馃搶 Tecnologia usata: GLiNER, FastAPI, spaCy, Python 馃殌 Problema iniziale: Troppi falsi positivi Abbiamo testato il modello GLiNER (DeepMount00/GLiNER_ITA_LARGE) pe...
Join discussionJan 7, 2025 路 13 min read 路 Install dependencies first before running other codes. pip install transformers torch 1. Feature Extraction from transformers import AutoTokenizer, AutoModel import torch tokenizer = AutoTokenizer.from_pretrained("huawei-noah/TinyBERT_General_4L_31...
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