[Fixed] AttributeError: module 'torch' has no attribute '_utils' – Pytorch
Quick Fix: Ensure your Pytorch is updated to the latest version (0.1.2 or higher) or … Read more
Quick Fix: Ensure your Pytorch is updated to the latest version (0.1.2 or higher) or … Read more
Quick Fix: Install Visual C++ on your local machine or in the cloud environment. Ensure … Read more
Quick Fix: Conduct a zero-shot approach and fine-tune the T5 model on a different yet … Read more
The Problem: When user tries to import the ‘ClassificationModel’ class from the ‘simpletransformers.classification’ module, an … Read more
Quick Fix: You can split your dataset into train, test, and validation sets using the … Read more
Quick Fix: Install the latest versions of transformers, accelerate, bitsandbytes, and einops using pip. Restart … Read more
Quick Fix: To use accelerate with the hugging face (HF) Trainer, follow these steps: Import … Read more
Quick Fix: When using the save_pretrained() method, set safe_serialization=True to resolve the lengthy loading time … Read more
Quick Fix: To train on only the first occurrence of the eos token while masking … Read more
Quick Fix: Reduce the model size by adjusting configuration hyperparameters, such as the ‘hidden_size’ and … Read more
Quick Fix: To slim down SBERT’s sentencer-transformer library when running on CPU, use the official … Read more
Quick Fix: Use the PeftConfig object to load the configuration of the local fine-tuned Peft … Read more
Quick Fix: To apply PEFT or LoRA to different models, firstly you need to determine … Read more
Quick Fix: Ensure you include the formatting_func function and consider removing the dataset_text_field argument, as … Read more
Quick Fix: Upgrade your transformers library by running pip install –upgrade transformers. This command will … Read more