Ogundepo Odunayo ToluClassics

## knn_elasticsearch.py
import os
import json
from tqdm import tqdm
import torch
import torch.nn.functional as F
from transformers import AutoTokenizer, AutoModel

from elasticsearch import Elasticsearch

class JsonlCollectionIterator:

## assessment.ipynb

      
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                ToluClassics
                / assessment.ipynb
            
            
              Created
              December 14, 2022 18:05
            
              
                Customer Response Clustering
              
          
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## lib.rs

mod ml_thread;

use gdnative::prelude::{godot_print, methods, Method, NativeClass, Node as GDNode, InitHandle, godot_init};
use ml_thread::start_language_model_thread;
use std::sync::mpsc::{channel, Receiver, RecvError, Sender, SendError};


const MAX_INPUT_LENGTH: usize = 512;
const BATCH_SIZE: usize = 1;

## embedding.rs
use std::borrow::Borrow;
use tch::nn::ModuleT;
use tch::nn::{self};
use tch::{Kind, Tensor};

#[derive(Debug)]
pub struct Dropout {
    dropout_prob: f64,
}
	import os
	import json
	from tqdm import tqdm
	import torch
	import torch.nn.functional as F
	from transformers import AutoTokenizer, AutoModel

	from elasticsearch import Elasticsearch

	class JsonlCollectionIterator:

	mod ml_thread;

	use gdnative::prelude::{godot_print, methods, Method, NativeClass, Node as GDNode, InitHandle, godot_init};
	use ml_thread::start_language_model_thread;
	use std::sync::mpsc::{channel, Receiver, RecvError, Sender, SendError};


	const MAX_INPUT_LENGTH: usize = 512;
	const BATCH_SIZE: usize = 1;
	use std::borrow::Borrow;
	use tch::nn::ModuleT;
	use tch::nn::{self};
	use tch::{Kind, Tensor};

	#[derive(Debug)]
	pub struct Dropout {
	dropout_prob: f64,
	}