Note
This no longer works in browser!
Note
This no longer works if you're alone in vc! Somebody else has to join you!
How to use this script:
- Accept the quest under User Settings -> Gift Inventory
# 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 |
sudo
privileges and SSH access.Administration
-> Configuration
Options
-> Show all configurable settings, including advanced settings
@Composable | |
fun MainScreen() { | |
Column( | |
modifier = Modifier | |
.fillMaxSize() | |
.background(MaterialTheme.colorScheme.surface), | |
verticalArrangement = Arrangement.Center, | |
horizontalAlignment = Alignment.CenterHorizontally | |
) { | |
AnimatedBorderCard( |
function speak_ollama() { | |
if ! command -v ollama &> /dev/null; then | |
echo "Error: ollama is not installed." | |
return 1 | |
fi | |
if [ "$#" -ne 2 ]; then | |
echo "Usage: speak_ollama <file_path> <model>" | |
return 1 | |
fi |
If your Mac is out-of-order or you otherwise cannot download macOS from the App Store, you can still create a bootable OS X recovery USB, and you can use that to create an Installer USB.
The downloads used in this process are legal and freely avaliable - including disk images directly from Apple's IT support pages, and open source utilities for extracting and converting pkg, dmg, and HFS+.
{ | |
"queries": [{ | |
"name": "List all owned users", | |
"queryList": [{ | |
"final": true, | |
"query": "MATCH (m:User) WHERE m.owned=TRUE RETURN m" | |
}] | |
}, | |
{ | |
"name": "List all owned computers", |
if (window.location.origin !== "https://www.instagram.com") { | |
window.alert( | |
"Hey! You need to be on the instagram site before you run the code. I'm taking you there now but you're going to have to run the code into the console again.", | |
); | |
window.location.href = "https://www.instagram.com"; | |
console.clear(); | |
} | |
const fetchOptions = { | |
credentials: "include", |