Overview of transformers library
The basic setup involves the following steps (Raw data) —> Tokenizer (input ids) —> Model (logits) —> Post processing —> prediction Tokenizer Transformers can not process text input,...
The basic setup involves the following steps (Raw data) —> Tokenizer (input ids) —> Model (logits) —> Post processing —> prediction Tokenizer Transformers can not process text input,...
Generic Transformer Models Encoder models : these models posses bidirectional attention, these are often referred as auto encoding models. The training is performed a perturbed (by masking word...
Data Transformation Model selection Train - Hyperparameter tuning Inference - evaluation Visualize evaluation metrics
Nearest Neighbors Support vector machines Gaussian models Decision Tree Random forest Naive bayes Neural Net
Data manipulation Numpy Pandas Data visualization Matlplotlib Machine Learning Scikit-learn Deep Learning Pytorch TensorFlow Reinforcement Learning Gymnasium
Following are some of the sources for open source data Popular open data repos OpenML.org Kaggle.com PapersWithCode.com UC Irvine Machine Learning Repository ...