Hugging Faceis one of the fastest-growing open-source projects around, yet ironically, it's a commercial company, and its repository is not an open-source platform, but then again, neither is GitHub (it's owned by Microsoft). Yet the files hosted on both platforms are open source, and t...
1.1 Hugging Face Hub 上传数据集到Hub数据集存储库。 使用datasets.load_dataset()加载Hub上的数据集。参数是存储库命名空间和数据集名称(epository mespace and dataset name) from datasets import load_dataset dataset = load_dataset('lhoestq/demo1') 根据revision加载指定版本数据集:(某些数据集可能有Git...
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Managed Private Hub (SaaS): runs in segregated virtual private servers (VPCs) owned by Hugging Face. You can enjoy the full Hugging Face experience on your own private Hub without having to manage any infrastructure. On-cloud Private Hub: runs in a cloud account on AWS, Azure...
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The project was conceived by Thomas Wolf (co-founder and CSO - Hugging Face), who dared to compete with the huge corporations not only to train one of the largest multilingual models, but also to make the final result accessible to all people, thus making what was but a ...
Merge Pretrained Model and Adapter as a Single File: I have observed that when I push the model to the Hugging Face Hub usingmodel.push_to_hub("myrepo/llama-2-7B-ft-summarization"), it only pushes the adapter weights. How can I merge the pretrained model and fine-tun...
(https://github.com/meta-llama/llama3) * Reporting risky content generated by the model: developers.facebook.com/llama_output_feedback * Reporting bugs and security concerns: facebook.com/whitehat/info * Reporting violations of the Acceptable Use Policy or unlicensed uses of Meta Llama 3: ...
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the GNU General Public License is intended to guarantee your freedom to share and change all versions of a program--to make sure it remains free software for all its users. We, the Free Software Foundation, use the GNU General Public License for most of our software; it applies also ...