andif888

---
- hosts: localhost
            
  tasks:  

    - name: Add Apt-Keys
      apt_key:
        url: '{{item.name}}'
        state: present
      with_items:

dongri

#!/bin/sh

sudo ps aux | grep Netskope | grep -v grep | awk '{ print "kill -9", $2 }' | sudo sh
echo '[✓] Kill Netskope Process'

sudo rm -rf /Applications/Remove\ Netskope\ Client.app
echo '[✓] Removed Remove Netskope Client.app'

sudo rm -rf /Library/Application\ Support/Netskope
echo '[✓] Removed Agent of Netskope Client.app'

kmcquade

• chime:CreateApiKey
• codepipeline:PollForJobs
• cognito-identity:GetOpenIdToken
• cognito-identity:GetOpenIdTokenForDeveloperIdentity
• cognito-identity:GetCredentialsForIdentity
• connect:GetFederationToken
• connect:GetFederationTokens
• ecr:GetAuthorizationToken
• [gamelift:RequestUploadCredentials](ht

lewtun

# This is a modified version of TRL's `SFTTrainer` example (https://github.com/huggingface/trl/blob/main/examples/scripts/sft_trainer.py), 
# adapted to run with DeepSpeed ZeRO-3 and Mistral-7B-V1.0. The settings below were run on 1 node of 8 x A100 (80GB) GPUs.
#
# Usage:
#   - Install the latest transformers & accelerate versions: `pip install -U transformers accelerate`
#   - Install deepspeed: `pip install deepspeed==0.9.5`
#   - Install TRL from main: pip install git+https://github.com/huggingface/trl.git
#   - Clone the repo: git clone github.com/huggingface/trl.git
#   - Copy this Gist into trl/examples/scripts
#   - Run from root of trl repo with: accelerate launch --config_file=examples/accelerate_configs/deepspeed_zero3.yaml --gradient_accumulation_steps 8 examples/scripts/sft_trainer.py