Update README: model details, file list, v1-old revision note

README.md

@@ -1,9 +1,51 @@
 ---
 license: apache-2.0
+tags:
+  - layoutlm
+  - reading-order
+  - document-ai
 ---
 
 # LayoutReader-base
 
 Detect the reading order of a layout-rich document (e.g. receipts, forms, papers) by encoding the word-level bounding boxes in a seq2seq transformer.
 
-Refer to the official Github Repo: https://github.com/microsoft/unilm/tree/master/layoutreader
+Refer to the official Github Repo: https://github.com/microsoft/unilm/tree/master/layoutreader
+
+## Model details
+
+Trained on [ReadingBank](https://github.com/microsoft/unilm/tree/master/layoutreader#readingbank).
+
+| | |
+|---|---|
+| Architecture | `LayoutlmForSequenceToSequence` (LayoutLM backbone) |
+| Layers / hidden / heads | 12 / 768 / 12 |
+| Parameters | ~113M (207 tensors, fp32) |
+| Vocab size | 30522 |
+| Max position embeddings | 1024 |
+| Max 2D position embeddings | 1024 |
+| Max source length | 513 |
+
+## Files
+
+- `model.safetensors` / `pytorch_model.bin` — the same checkpoint in both formats
+- `config.json`
+
+No tokenizer files are included in this repo — load one separately.
+
+## Note on revisions
+
+The original upload of this repo was saved through a plain `BertModel`, which
+silently dropped every LayoutReader-specific tensor: the 2D layout position
+embeddings (`x`/`y`/`h`/`w_position_embeddings`) and the `cls.predictions`
+head. Its `config.json` also recorded `architectures: ["BertModel"]`.
+
+`main` now holds the complete original checkpoint, verified against the source
+`pytorch_model.bin`.
+
+The previous incomplete version is still available at the `v1-old` tag:
+
+```python
+from transformers import AutoModel
+AutoModel.from_pretrained("zilongwang/layoutreader-base", revision="v1-old")
+```