How to obtain latent vectors from model with transformers
Hi, I’m working on a deep learning project for music recommendation. The idea is either build a CNN or load a pretrained model and train/fine-tune with GTZAN dataset in order to learn how to identify music patterns from songs raw mp3. Once the model is succesfully trained/tuned, I would try to obtain latent vectors from last layers for each songs, and then compute euclidean/cosine distance to compute similarity for recommendation.So far, I’ve fine-tuned ntu-spml/distilhubert model using transformers library and finally obtained 80% accuracy. However, I don’t know how to extract latent vectors from fine-tuned model. If anyone would be about to help me I will provide code cells.
2024-04-09T13:18:24Z
Did you finetune this using wave2vec2 class in transformers? If so you can probably just grab the last hidden state from the forward pass at inference time. If not then inspect the forward method of your model to see what it does return.