Man pages for cregouby/docformer
Fit 'DocFormer' Models for Classification and Regression
| apply_ocr | Apply tesseract::ocr_data() and clean result. |
| create_features | Turn content into docformer torch tensor input feature |
| docformer | Docformer Self-supervised training module |
| docformer_config | Configuration for Docformer models |
| docformer_fit | Docformer model |
| dot-load_weights | Load Pretrained Weights into a Transformers Model |
| dot-process_downloaded_weights | Process Downloaded Weights |
| dot-tokenize | tokenize the character vector and prepend the [CLS] token to... |
| download_and_cache | Download and Cache Weights (the torchvision way) |
| fit.docformer_module | Fit the Temporal Fusion Transformer module |
| LayoutLMEmbeddings | Construct the embeddings from word, position and token_type... |
| LayoutLMForMaskedLM | LayoutLM Model with a language modeling head on top." |
| LayoutLMForSequenceClassification | LayoutLM Model with a sequence classification head on top (a... |
| LayoutLMForTokenClassification | LayoutLM Model with a token classification head on top (a... |
| LayoutLMModel | The LayoutLM model |
| normalize_box | Normalize a bounding-box |
| pipe | Pipe operator |
| read_featureRDS | Load feature tensor from disk |
| save_featureRDS | Save feature tensor to disk |
| special_tokens | Extract special tokens from tokenizer |
| transformers_config | #' Transformers models configuration |
