| #!/usr/bin/env bash | |
| ### | |
| # NB: You probably don't want this gist any more. | |
| # Instead, use this version from `fastsetup`: | |
| # https://github.com/fastai/fastsetup/blob/master/setup-conda.sh | |
| ### | |
| set -e | |
| cd |
| conda install cuda -c nvidia/label/cuda-12.1.0 | |
| conda install 'pytorch>2.0.1' torchvision torchaudio pytorch-cuda=12.1 -c pytorch -c nvidia | |
| conda install scipy matplotlib pandas notebook |
| import torch, time, os, safetensors | |
| from torch import nn | |
| from peft import get_peft_model, LoraConfig, TaskType | |
| from bitsandbytes.nn import Linear4bit, Linear8bitLt | |
| from transformers import AutoTokenizer, LlamaForCausalLM, AutoConfig, LlamaPreTrainedModel, BitsAndBytesConfig | |
| from transformers.utils import hub, WEIGHTS_INDEX_NAME, SAFE_WEIGHTS_INDEX_NAME | |
| from transformers.integrations.bitsandbytes import replace_with_bnb_linear |
| from bitsandbytes.nn.modules import Linear8bitLt, Linear4bit | |
| from contextlib import contextmanager | |
| def noop (x=None, *args, **kwargs): | |
| "Do nothing" | |
| return x | |
| @contextmanager | |
| def no_kaiming(): | |
| old_iku = init.kaiming_uniform_ |
| import torch | |
| from datasets import load_dataset | |
| import argparse | |
| import os | |
| import math | |
| from itertools import chain | |
| from datetime import timedelta | |
| from torch.utils.data import DataLoader | |
| from accelerate import Accelerator | |
| from accelerate.utils import (DummyOptim, DummyScheduler, |
Q: Bing AI
Q: Some philosophers and AI researchers have claimed that AI can not be sentient, or be AGI, due to lack of "embodiment" or "grounding". Could you please summarize these claims, and points for and against? Who are the main people on each side of this debate?
| from datasets.tasks import ImageClassification | |
| t = train.rename_columns({'image':'a', 'label':'b'}) | |
| t2 = t.prepare_for_task(ImageClassification(image_column='a', label_column='b')) | |
| t2.features |
| #!/usr/bin/env bash | |
| for f in $(<~/git/repos); do | |
| cd ~/git/$f | |
| git pull > /dev/null & | |
| cd - > /dev/null | |
| done | |
| wait < <(jobs -p) | |
| for f in $(<~/git/repos); do |
