Loading Llama 2 from Huggingface
In this quest, you will learn how to utilize the Hugging Face platform to implement Large Language Models (LLMs) for various natural language processing (NLP) tasks. You will be guided through setting up your environment, loading pre-trained models, and performing basic operations with Hugging Face Transformers. Additionally, you will explore sentiment analysis using pre-trained models, preparing you for more advanced applications.
For technical help on the StackUp platform & quest-related questions, join our Discord, head to the quest-helpdesk channel and look for the correct thread to ask your question.
Learning Outcomes
By the end of this quest, you will be able to:
Learn how to install and configure the necessary libraries and tools to work with Hugging Face Transformers.
- Learn how to access and load pre-trained LLMs from the Hugging Face model hub.
- Understand how to use pre-trained models to perform basic NLP tasks such as text generation.
- Gain practical skills in using Hugging Face Transformers for sentiment analysis.
- Learn how to integrate sentiment analysis into a chatbot application.
Tutorial Steps
Total steps: 8
-
Step 1: Setting Up the Environment
-
Step 2: Loading the Pre-trained Language Model (Llama 2)
-
Step 3: Exploring Model Details
-
Step 4: Generating Text
-
Step 5: Named Entity Recognition (NER)
-
Step 6: Summarization
-
Step 7: Performing Question-Answering
-
Step 8: Conclusion
Need help?
Find articles to support you through your journey or chat with our support team.
Help Center
