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")