Feature/text generation hf models

[alytarik]

Description

This PR is intended to add the capability to locally deploy and assess text generation models sourced from the Hugging Face model hub. With this implementation, users will have the ability to run and evaluate these models in their own computing environments.

---

➤ Fixes #667

Type of change

• New feature (non-breaking change which adds functionality)

Usage

You can set the hub parameter to huggingface and choose any model from HF model hub.
In the example below, we load the opt-1.3b model from facebook to test it's capabilities for summarization task.

 harness = Harness(
    task="summarization",
    model={"model": "facebook/opt-1.3b", "hub":"huggingface"},
    data={...},
    config={
     ...
    })

Example Notebook:
https://colab.research.google.com/github/JohnSnowLabs/langtest/blob/feature/text-generation-hf-models/demo/tutorials/llm_notebooks/HuggingFaceHub_QA_Summarization_Testing_Notebook.ipynb

Checklist:

• I've added Google style docstrings to my code.
• I've used pydantic for typing when/where necessary.
• I have linted my code
• I have added tests to cover my changes.

Screenshots (if appropriate):

[chakravarthik27]

@alytarik
LGTM

[ArshaanNazir]

It looks fine. Kindly add notebook link in PR description as well. @alytarik