π Hugging Face is the home of Open Source large language models.
π» Learn how to download a model from Hugging Face to your machine.
π Generate a Hugging Face key and set it as an environment variable.
π₯ Choose a model to download, preferably one with fewer parameters.
π‘ Running a Hugging Face LLM on consumer Hardware with parameters at 3 billion.
π» Downloading the necessary files, including pytorch and configuration files, to run the model.
π½ Using the HF hub download function to download and store the files in the cache folder.
π We check the connectivity of our machine and toggle the Wi-Fi off to ensure it is disconnected from the internet.
π» We initialize the model by importing classes from the Transformers library and creating a tokenizer and a model.
π Lastly, we create a pipeline for text generation after setting the model type as 'text to text generation'.
π Running a Hugging Face LLM on your laptop
π΅οΈββοΈ Performing a HTTP head request to check for the latest version
π‘ Using the Hugging Face LLM to answer questions about competitors to Apache Kafka
π Exploring the possibility of using the Hugging Face LLM with custom data
π Running a Hugging Face LLM on your laptop.
π‘ Generating summaries using different types of data.
π₯ Related video on getting a consistent JSON response when using Open AI.
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