I converted this PyTorch 7x model to an ONNX model with the idea of trying to use this in the open VINO toolkit. And after converting the Pytorch model to open VINO format: import cv2 import numpy as np import
I'm having the same issue, i've fine tuned a Llama 7b model using peft, and got satisfying results in inference, but when i try to use SFTTrainer.save_model, and load the model from the saved files using LlamaForCausalLM.from_pretrained, the inference result seem to just be of the ...
During the training process, learnable parameters are tuned using training data. In the test process, learnable parameters are frozen, and the task is to check how well the model makes predictions on previously unseen data. Generalization is the ability of a learning machine to perform accurately ...
object detection models need to know the depth of the network, the width of the network, and the resolution that the network is trained on. In YOLOv7, the model simultaneously scales the network depth and
🐛 Describe the bug In an attention layer, kv cache needs a variable number "start_pos" from outside. (may related to #146990) Here is a simplified model for reproducing the issue: import torch from torch import nn class Cache(nn.Module):...
Scenario: currently I had a Pytorch model that model size was quite enormous (the size over 2GB). According to the traditional method, we usually exported to the Onnx model from PyTorch then converting the Onnx model to the TensorRT model. However, there was a known issue of Onnx model...
Fine-tuning a Multilingual model is a relatively more challenging task (like choosing a balanced dataset covering multiple languages). At this stage, multilingual fine-tuning is only supported with specific NeMo and Pytorch lightning versions(PTL<2.0). We suggest you to ...
Deep learning is a technique used to make predictions using data, and it heavily relies on neural networks. Today, you’ll learn how to build a neural network from scratch.In a production setting, you would use a deep learning framework like TensorFlow or PyTorch instead of building your own...
We also developed a user-friendly pipeline for human-in-the-loop annotation and model retraining. An annotator using our graphical user interface (GUI) was able to generate state-of-the-art models in 1–2 hours per category. the LiveCell dataset (Fig. 1c(iv)). The outlines in the ...
I have no idea how to export this model to onnx. One of the inputs for this model accepts a list of uncertain tuple, each of which contains 2 tensor with size of (2, 1024). This model also returns a list of tuple of two tensors(2, 1024)...