=========
llmloader
=========
Loads a Langchain LLM by model name as a string.
Usage
==========
Load the LLM with the `llmloader.load` function. e.g.
.. code-block:: python
import llmloader
llm = llmloader.load("gpt-4o")
result = llm.invoke("Write me a haiku about love")
llm = llmloader.load("claude-3-5-sonnet-20240620")
result = llm.invoke("Write me a haiku about love")
llm = llmloader.load("meta-llama/Llama-3.3-70B-Instruct")
result = llm.invoke("Write me a haiku about love")
CLI
==========
You can test out prompts and models on the command line.
.. code-block:: bash
llmloader "Write me a haiku about love" --model gpt-4o-mini
llmloader "Write me a haiku about love" --model gpt-4o
llmloader "Write me a haiku about love" --model claude-3-5-sonnet-20240620
llmloader "Write me a haiku about love" --model meta-llama/Meta-Llama-3-8B-Instruct
llmloader "Write me a haiku about love" --model meta-llama/Llama-3.3-70B-Instruct
llmloader --help
Credit
==========
Robert Turnbull (Melbourne Data Analytics Platform, University of Melbourne)
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