Zach Schillaci zachschillaci27

Option 1 (easy): HuggingFace Hub Download

Request access to one of the llama2 model repositories from Meta's HuggingFace organization, for example the Llama-2-13b-chat-hf.
Generate a HuggingFace read-only access token from your user profile settings page.
Setup a Python 3.10 enviornment with the following dependencies installed: transformers, huggingface_hub.
Run the following code to download and load the model in HuggingFace transformers:

TOKEN = # copy-paste your HuggingFace access token here

### Option 1

	import numpy as np
	import spacy
	from spacy.language import Language
	from typing import Callable

	def get_most_similar_word(nlp: spacy.language.Language, word: str, metric: Callable[[np.array, np.array], float]) -> str:
	# Get the vector of representation of the query word
	vector = nlp.vocab.get_vector(word)

	# Get the most similar vector by row index in the word vector matrix

	import pandas as pd
	import openpyxl


	def _get_link_if_exists(cell) -> str \| None:
	try:
	return cell.hyperlink.target
	except AttributeError:
	return None

	import json
	from typing import Any, Type

	from pydantic import BaseModel


	class FunctionSchemaForOpenAI(BaseModel):
	name: str
	description: str
	func_schema: Type[BaseModel]