Update model card

README.md

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+---
+library_name: lucid
+license: apache-2.0
+tags:
+  - base
+  - bert
+  - lucid
+datasets:
+  - wikipedia
+  - bookcorpus
+pipeline_tag: feature-extraction
+---
+
+# BERT-Small
+
+> https://arxiv.org/abs/1810.04805
+
+[Lucid](https://github.com/ChanLumerico/lucid) port of `transformers/google/bert_uncased_L-4_H-512_A-8`,
+converted to Lucid-native safetensors.
+
+## Available weights
+
+| Tag | Params | GFLOPs | Size | Source |
+|---|---|---|---|---|
+| `WIKIPEDIA_BOOKSCORPUS` *(default)* | 28.8M | — | 109.73 MB | transformers |
+
+## Usage
+
+```python
+import lucid
+import lucid.models as models
+from lucid.models.weights import BertSmallWeights
+
+# default tag
+model = models.bert_small(pretrained=True)
+
+# explicit tag (enum or string)
+model = models.bert_small(weights=BertSmallWeights.WIKIPEDIA_BOOKSCORPUS)
+model = models.bert_small(pretrained="WIKIPEDIA_BOOKSCORPUS")
+
+# feed token ids (tokenize with the matching lucid.utils.tokenizer)
+input_ids = lucid.tensor([[101, 7592, 2088, 102]], dtype=lucid.int64)
+out = model(input_ids)
+hidden = out.last_hidden_state  # (B, T, hidden_size)
+```
+
+## Conversion
+
+Converted from `transformers/google/bert_uncased_L-4_H-512_A-8` via
+`python -m tools.convert_weights bert_small --tag WIKIPEDIA_BOOKSCORPUS`.
+Key mapping + numerical parity verified against the source.
+
+## License
+
+`apache-2.0` — inherited from the original weights.
+
+## Citation
+
+```
+Devlin et al., "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding", NAACL 2019. Miniatures: Turc et al., "Well-Read Students Learn Better", 2019.
+```