The Hugging Face Transformers library makes state-of-the-art NLP models like BERT and training techniques like mixed precision and gradient checkpointing easy ... |
Visualize your Hugging Face model's performance quickly with a seamless W&B integration. Compare hyperparameters, output metrics, and system stats like GPU ... Why should I use W&B? · 🔑 Put in your API key |
28 июл. 2020 г. · You just need to have wandb installed and logged in. It automatically logs losses, metrics, learning rate, computer ressources, etc. |
18 мая 2021 г. · I am trying to use the trainer to fine tune a bert model but it keeps trying to connect to wandb and I dont know what that is and just want ... |
The Hugging Face Transformers library provides pretrained models for a variety of tasks with deep interoperability between TensorFlow 2.0 and PyTorch. |
Accelerate is a library that enables the same PyTorch code to be run across any distributed configuration by adding just four lines of code. |
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