๐ Hugging Face is the home of Open Source large language models.
๐ป Learn how to download a model from Hugging Face to your machine.
๐ Generate a Hugging Face key and set it as an environment variable.
๐ฅ Choose a model to download, preferably one with fewer parameters.
๐ก Running a Hugging Face LLM on consumer Hardware with parameters at 3 billion.
๐ป Downloading the necessary files, including pytorch and configuration files, to run the model.
๐ฝ Using the HF hub download function to download and store the files in the cache folder.
๐ We check the connectivity of our machine and toggle the Wi-Fi off to ensure it is disconnected from the internet.
๐ป We initialize the model by importing classes from the Transformers library and creating a tokenizer and a model.
๐ Lastly, we create a pipeline for text generation after setting the model type as 'text to text generation'.
๐ Running a Hugging Face LLM on your laptop
๐ต๏ธโโ๏ธ Performing a HTTP head request to check for the latest version
๐ก Using the Hugging Face LLM to answer questions about competitors to Apache Kafka
๐ Exploring the possibility of using the Hugging Face LLM with custom data
๐ Running a Hugging Face LLM on your laptop.
๐ก Generating summaries using different types of data.
๐ฅ Related video on getting a consistent JSON response when using Open AI.
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