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سیستم عامل گنو/لینوکس اوبونتو
| height: 600 | |
| scrolling: no | |
| border: yes |
These libraries can be used to quickly create a GUI for configureable parameters using sliders, checkboxes, colors pickers etc
| import { WsAdapter } from '@nestjs/platform-ws'; | |
| import { MessageMappingProperties } from '@nestjs/websockets'; | |
| import { EMPTY as empty, Observable } from 'rxjs'; | |
| export class CustomWsAdapter extends WsAdapter { | |
| public bindMessageHandler( | |
| buffer: any, | |
| handlers: MessageMappingProperties[], | |
| transform: (data: any) => Observable<any>, | |
| ): Observable<any> { |
| # Taken from https://johanwind.github.io/2023/03/23/rwkv_details.html. | |
| # I've added additional comments restructured it a tiny bit, which makes it clearer for me. | |
| import numpy as np | |
| from torch import load as torch_load # Only for loading the model weights | |
| from tokenizers import Tokenizer | |
| exp = np.exp | |
| layer_norm = lambda x, w, b : (x - np.mean(x)) / np.std(x) * w + b | |
| sigmoid = lambda x : 1/(1 + exp(-x)) |
| # Based on younesbelkada/finetune_llama_v2.py | |
| # Install the following libraries: | |
| # pip install accelerate==0.21.0 peft==0.4.0 bitsandbytes==0.40.2 transformers==4.31.0 trl==0.4.7 scipy | |
| from dataclasses import dataclass, field | |
| from typing import Optional | |
| import torch | |
| from datasets import load_dataset | |
| from transformers import ( |