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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( |
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# coding=utf-8 | |
# Copyright 2023 The HuggingFace Inc. team. All rights reserved. | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software |
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# ----------------------------------------------------------------------------- | |
# AI-powered Git Commit Function | |
# Copy paste this gist into your ~/.bashrc or ~/.zshrc to gain the `gcm` command. It: | |
# 1) gets the current staged changed diff | |
# 2) sends them to an LLM to write the git commit message | |
# 3) allows you to easily accept, edit, regenerate, cancel | |
# But - just read and edit the code however you like | |
# the `llm` CLI util is awesome, can get it here: https://llm.datasette.io/en/stable/ | |
gcm() { |