Fine-tuning Llama2-7b and other llms for categorising emails for Deutsche Bahn (German National Railways)
-
Updated
Oct 9, 2023 - Jupyter Notebook
Fine-tuning Llama2-7b and other llms for categorising emails for Deutsche Bahn (German National Railways)
How to deploy a BERT model from Hugging Face Model Hub to Amazon SageMaker for a Fill-Mask use case.
Text auto-completion system using the bert-base-uncased model by Hugging Face in the backend. Designed to enhance user experience across various applications, it anticipates and suggests word sequences as users type.
Text auto-completion system using the bert-base-uncased model by Hugging Face in the backend. Designed to enhance user experience across various applications, it anticipates and suggests word sequences as users type.
Proof of Concept for a Machine Learning Classification Model using a custom 'bert-base-uncased' model.'
Hackathon project: BERT-powered emotion and sentiment analysis web app with Flask, interactive UI, and sentiment trend visualization.
Analyse sentiments from youTube (comments) with MLFlow!
Multi-model duplicate question classifier for Quora dataset. Implements three architectures: (1) XGBoost with Word2Vec + fuzzy matching features, (2) PyTorch BiLSTM with early stopping, and (3) Fine-tuned BERT for sequence classification. Complete pipeline from preprocessing to inference.
Add a description, image, and links to the bert-base-uncased topic page so that developers can more easily learn about it.
To associate your repository with the bert-base-uncased topic, visit your repo's landing page and select "manage topics."