: Use ignore_mismatched_sizes=True in your from_pretrained() call to allow the model to skip the incompatible head weights while keeping the core RoBERTa layers. Troubleshooting Workflow
A partial download is the most frequent cause of the extraction failure. Check the integrity of the downloaded archive before attempting a fix. In a Linux terminal or Google Colab instance, run: sha256sum wals_roberta_sets_1-36.zip Use code with caution. wals roberta sets 136zip fix
This public link is valid for 7 days and shares a thread, including any personal information you added. This link or copies made by others cannot be deleted. If you share with third parties, their policies apply. Can’t copy the link right now. Try again later. In a Linux terminal or Google Colab instance,
import os import shutil # Replace with your actual cache path cache_path = os.path.expanduser("~/.cache/huggingface/transformers") if os.path.exists(cache_path): shutil.rmtree(cache_path) Use code with caution. 💡 Best Practices for RoBERTa Sets If you share with third parties, their policies apply