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Facing SSL Error with Huggingface pretrained models You'll need to complete a few actions and gain 15 reputation points before being able to upvote Upvoting indicates when questions and answers are useful What's reputation and how do I get it? Instead, you can save this post to reference later
Save only best weights with huggingface transformers Currently, I'm building a new transformer-based model with huggingface-transformers, where attention layer is different from the original one I used run_glue py to check performance of my model on
How to use Huggingface Trainer with multiple GPUs? Say I have the following model (from this script): from transformers import AutoTokenizer, GPT2LMHeadModel, AutoConfig config = AutoConfig from_pretrained( quot;gpt2 quot;, vocab_size=len(
saving finetuned model locally - Stack Overflow I'm trying to understand how to save a fine-tuned model locally, instead of pushing it to the hub I've done some tutorials and at the last step of fine-tuning a model is running trainer train()
Load a pre-trained model from disk with Huggingface Transformers From the documentation for from_pretrained, I understand I don't have to download the pretrained vectors every time, I can save them and load from disk with this syntax: - a path to a `directory`