A complete solution to the download problem
When using the Transformers framework, model downloads may face issues with unstable networks or large files. Here are three proven solutions:
- Pre-download the model locally: Batch download model files using Hugging Face Hub's snapshot_download method
from huggingface_hub import snapshot_download
snapshot_download(repo_id="meta-llama/Llama-2-7b-hf", repo_type="model") - Enable local caching mechanism: Specify custom cache paths via environment variables
export TRANSFORMERS_CACHE="/custom/path"
- Use of domestic mirror sources: For Chinese users, you can configure mirror sites to accelerate downloads
HF_ENDPOINT=https://hf-mirror.com
Implementation Recommendation: Prioritize offline mode (HF_HUB_OFFLINE=1) combined with local caching, which can completely solve the network dependency problem.
This answer comes from the articleTransformers: open source machine learning modeling framework with support for text, image and multimodal tasksThe
May not be reproduced without permission:AI productivity tools " How can I solve the problem of slow or interrupted downloads of Transformers models?
