2024年8月30日

免費AI模型試驗場:huggingface.co

沒聽過 huggingface.co ?

這是一個很有名的免費AI模型試驗場。可以先試試看某個模型對你有沒有用,再決定下載在本機電腦來使用。

我試過漫畫產生器

ai-comic-factory

產生如下,還滿有趣的。



==設定==

You can create a repository from the CLI (skip if you created a repo from the website)

$pip install huggingface_hub
#You already have it if you installed transformers or datasets

$huggingface-cli login
#Log in using a token from huggingface.co/settings/tokens
#Create a model or dataset repo from the CLI if needed
$huggingface-cli repo create repo_name --type {model, dataset, space}

Clone your model, dataset or Space locally

#Make sure you have git-lfs installed
#(https://git-lfs.github.com)
$git lfs install
$git clone https://huggingface.co/username/repo_name

Then add, commit and push any file you want, including larges files

# save files via `.save_pretrained()` or move them here
$git add .
$git commit -m "commit from $USER"
$git push

In most cases, if you're using one of the compatible libraries, your repo will then be accessible from code, through its identifier: username/repo_name

For example for a transformers model, anyone can load it with:

tokenizer = AutoTokenizer.from_pretrained("username/repo_name")
model = AutoModel.from_pretrained("username/repo_name")

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