Convert a bert model trained in pytorch into a Hugginface Model
Hello everyone.I trained a BERT model using pure PyTorch for a project.My project aims to use SHAP for model interpretability. However, the SHAP website only provides examples for running it with BERT models that use the Hugging Face API.To solve this problem, I trained a new model using the Hugging Face API. I am wondering if it is possible to train a BERT model in Pytorch, save it using torch.save(model.state_dict(‘model_weights.pth’)), and then load it using either AutoConfig.from_pretrained() or AutoModelForSequenceClassification.from_pretrained() by passing the .pth file.Thank you