Helw150

from transformers import AutoTokenizer, T5ForConditionalGeneration

# Model Init
n_gpu = 8
tokenizer = AutoTokenizer.from_pretrained("google/flan-ul2")
model = T5ForConditionalGeneration.from_pretrained("google/flan-ul2")
heads_per_gpu = len(model.encoder.block) // n_gpu 
device_map = {
    gpu: list(
        range(

jordwalke

#!/bin/bash

# Invoke like this:
# ./watch.sh my command here
# And it will run 'my command here' once, and then when it detects changes.

# TODO: Don't just search in the last second. Search for updates since the last
# completed build. Otherwise for big directories, midway through your search
# you've already taken 1s and you will miss updates.

EderSantana

Code for Keras plays catch blog post

Train

python qlearn.py

Test

1. Generate figures