---
title: "#bert-language-model articles | Hashnode"
description: "Explore 3 articles tagged #bert-language-model on Hashnode. Tutorials, guides, and how-tos from the community."
url: "https://hashnode.com/tag/bert-language-model"
---

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# #bert-language-model

3 posts · 0 followers

[Mohamad Mahmood](https://hashnode.com/@mohamadrazzimy) · [Feb 24, 2025](https://hashnode.com/posts/fine-tuning-nanobert-for-sentence-similarity-a-deep-learning-approach/67bcb1c60b025212fbff3d58)

### [Fine-Tuning NanoBERT for Sentence Similarity: A Deep Learning Approach](https://hashnotes.hashnode.dev/fine-tuning-nanobert-for-sentence-similarity-a-deep-learning-approach?utm_source=hashnode&utm_medium=feed)

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...

9 min read · [hashnotes.hashnode.dev](https://hashnotes.hashnode.dev/fine-tuning-nanobert-for-sentence-similarity-a-deep-learning-approach?utm_source=hashnode&utm_medium=feed)

[DaT](https://hashnode.com/@BrotherCode) · [Jan 28, 2025](https://hashnode.com/posts/migliorare-il-riconoscimento-dei-nomi-con-gliner-e-fastapi/67990932316a1c6c959a5241)

### [Migliorare il riconoscimento dei nomi con GLiNER e FastAPI](https://smithyai.hashnode.dev/migliorare-il-riconoscimento-dei-nomi-con-gliner-e-fastapi?utm_source=hashnode&utm_medium=feed)

Rafforza il riconoscimento dei nomi con GLiNER e FastAPI usando tecniche avanzate di segmentazione e verifica per ridurre i falsi positivi

3 min read · [smithyai.hashnode.dev](https://smithyai.hashnode.dev/migliorare-il-riconoscimento-dei-nomi-con-gliner-e-fastapi?utm_source=hashnode&utm_medium=feed)

[Mohamad Mahmood](https://hashnode.com/@mohamadrazzimy) · [Jan 7, 2025](https://hashnode.com/posts/application-of-bert-language-model/677cb35d311ef1c7e593e28d)

### [Application of BERT Language Model](https://hashnotes.hashnode.dev/application-of-bert-language-model?utm_source=hashnode&utm_medium=feed)

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...

13 min read · [hashnotes.hashnode.dev](https://hashnotes.hashnode.dev/application-of-bert-language-model?utm_source=hashnode&utm_medium=feed)
