huggingface_hub

Quick 9+ Hugging Face Download Examples (Snapshot!)

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huggingface_hub snapshot_download usage example

Quick 9+ Hugging Face Download Examples (Snapshot!)

The process of downloading a specific version of a model or dataset from the Hugging Face Hub, along with illustrative code demonstrating its application, allows users to obtain a complete and functional copy of the resource. This includes model weights, configuration files, and associated assets necessary for immediate use. The illustrative code usually showcases how to specify the model identifier and revision, ensuring the correct version is downloaded.

This method offers several advantages, including reproducibility and version control. By specifying a particular commit hash or tag, one can ensure that the same model version is used across different experiments or deployments. This is crucial for maintaining consistent results and tracking changes in model performance over time. Furthermore, it simplifies collaboration, as team members can easily access the identical resource version used by others.

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Fix: ImportError – 'cached_download' Hugging Face Hub

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importerror: cannot import name 'cached_download' from 'huggingface_hub'

Fix: ImportError - 'cached_download' Hugging Face Hub

This error arises when a Python script attempts to utilize the `cached_download` function from the `huggingface_hub` library, but the function cannot be located. This typically indicates a problem with the installed version of the library, a typo in the import statement, or an incompatibility between the code and the library version. For instance, code written expecting a specific version of `huggingface_hub` might fail if an older or newer version lacking the `cached_download` function is installed.

The `cached_download` function is crucial for efficiently managing downloads of large files, such as pre-trained models, from the Hugging Face Hub. It avoids redundant downloads by caching files locally, significantly speeding up subsequent usage of those files. Historically, managing model downloads required manual implementation, often leading to duplicated effort and storage inefficiencies. The introduction of functions like `cached_download` streamlined this process, improving the developer experience and reducing resource consumption.

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Fix: Cannot Import 'cached_download' from HuggingFace Hub

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cannot import name 'cached_download' from 'huggingface_hub'

Fix: Cannot Import 'cached_download' from HuggingFace Hub

An `ImportError` mentioning a missing name, specifically ‘cached_download’, from the ‘huggingface_hub’ library signifies that the requested function or object is not directly available through a standard import statement. This commonly arises due to version incompatibility, where the installed ‘huggingface_hub’ version lacks the ‘cached_download’ function. Another possibility is a typo in the import statement or that the user is trying to import a function that is not intended to be directly imported (i.e. is an internal function).

The successful resolution of such import errors is crucial for developers leveraging the Hugging Face ecosystem. The `cached_download` function (or its equivalent functionality in more recent versions) facilitates efficient model and data loading by caching downloaded files locally, thus avoiding repeated downloads and speeding up subsequent accesses. Understanding and addressing the underlying cause of the import error is vital for ensuring efficient workflow and proper application functionality, including code that works repeatably and predictably in production environments. In earlier versions of `huggingface_hub`, ‘cached_download’ played a significant role, but recent versions may have deprecated it or moved it to a different location within the library, or replaced it entirely with new functionality.

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