Huggingface: Difference between revisions

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To download a pre-trained model from the Hugging Face model hub, choose one of the options below and follow the instructions on the '''login node''' of the cluster you are working on.
To download a pre-trained model from the Hugging Face model hub, choose one of the options below and follow the instructions on the '''login node''' of the cluster you are working on.


==Using git lfs==
===Using git lfs===


Pre-trained models are usually made up of fairly large binary files. The Hugging Face makes these files available for download via [https://git-lfs.com/ Git Large File Storage]. To download a model, load the <tt>git-lfs</tt> module and clone your chosen model repository from the model hub:
Pre-trained models are usually made up of fairly large binary files. The Hugging Face makes these files available for download via [https://git-lfs.com/ Git Large File Storage]. To download a model, load the <tt>git-lfs</tt> module and clone your chosen model repository from the model hub:
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  tokenizer = AutoTokenizer.from_pretrained("/path/to/where/you/cloned/the/model", local_files_only=True)
  tokenizer = AutoTokenizer.from_pretrained("/path/to/where/you/cloned/the/model", local_files_only=True)


==Using python==
===Using python===


It is also possible to download pre-trained models using Python instead of Git. The following must be executed '''on a login node''' as an internet connection is required to download the model files:
It is also possible to download pre-trained models using Python instead of Git. The following must be executed '''on a login node''' as an internet connection is required to download the model files:
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