Update model card (BERT-style tags + license)

README.md

@@ -1,22 +1,72 @@
----
-library_name: kerasformers
-license: apache-2.0
-pipeline_tag: fill-mask
-tags:
-  - keras
-  - electra
-base_model: google/electra-base-generator
----
-
-# electra_base_generator
-
-ELECTRA masked-LM checkpoint converted to [kerasformers](https://github.com/IMvision12/KerasFormers) (pure Keras 3, runnable on JAX / PyTorch / TensorFlow). Converted from [`google/electra-base-generator`](https://huggingface.co/google/electra-base-generator).
-
-```python
-from kerasformers.models.electra import ElectraMaskedLM, ElectraTokenizer
-
-model = ElectraMaskedLM.from_weights("kerasformers/electra_base_generator")
-tokenizer = ElectraTokenizer.from_weights("kerasformers/electra_base_generator")
-```
-
-embed_dim 256 | layers 12 | heads 4
+---
+pipeline_tag: fill-mask
+license: apache-2.0
+base_model: google/electra-base-generator
+library_name: kerasformers
+tags:
+- keras
+- kerasformers
+- electra
+- generator
+- text-encoder
+- fill-mask
+- arxiv:2003.10555
+- pytorch
+- jax
+- tf
+---
+
+## ***See [our collection](https://huggingface.co/collections/kerasformers/electra-6a8540d1f5831e07dc89d8d1) for all versions of ELECTRA.***
+
+# Run ELECTRA with Keras 3: JAX, PyTorch, or TensorFlow
+
+[![GitHub](https://img.shields.io/badge/GitHub-KerasFormers-black?logo=github)](https://github.com/IMvision12/KerasFormers) [![Docs](https://img.shields.io/badge/Docs-ELECTRA-blue)](https://imvision12.github.io/KerasFormers/electra/) [![Collection](https://img.shields.io/badge/HF-ELECTRA%20collection-yellow)](https://huggingface.co/collections/kerasformers/electra-6a8540d1f5831e07dc89d8d1)
+
+# kerasformers/electra_base_generator
+
+Paper: [ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators (arXiv:2003.10555)](https://arxiv.org/abs/2003.10555) · [HF Papers](https://huggingface.co/papers/2003.10555)
+
+ELECTRA is Google's BERT-style bidirectional text encoder, pre-trained as a replaced-token **discriminator** (with a smaller **generator** producing the corrupted tokens). This repo is the **masked-LM (fill-mask)** checkpoint. WordPiece tokenizer; mask token `[MASK]`.
+
+For more details on the model, please go to the upstream [model card](https://huggingface.co/google/electra-base-generator).
+
+Pure-**Keras 3** conversion of [`google/electra-base-generator`](https://huggingface.co/google/electra-base-generator) for [kerasformers](https://github.com/IMvision12/KerasFormers). One implementation runs unmodified on **TensorFlow / Torch / JAX**.
+
+## ✨ Quick start (masked-LM (fill-mask))
+
+```python
+import os
+os.environ["KERAS_BACKEND"] = "torch"  # or "jax" / "tensorflow"
+
+from kerasformers.models.electra import ElectraMaskedLM, ElectraTokenizer
+
+mlm = ElectraMaskedLM.from_weights("kerasformers/electra_base_generator")
+tokenizer = ElectraTokenizer.from_weights("kerasformers/electra_base_generator")
+
+inputs = tokenizer("The capital of France is [MASK].")
+logits = mlm(inputs)  # (1, L, vocab_size)
+mask = int((inputs["input_ids"][0] == tokenizer.mask_token_id).argmax())
+print(tokenizer.decode([int(logits[0, mask].argmax())]))
+```
+
+Load any ELECTRA variant the same way with `from_weights("kerasformers/<variant>")`:
+
+| Size | Discriminator (encoder / downstream) | Generator (masked-LM) |
+|---|---|---|
+| small | [`kerasformers/electra_small_discriminator`](https://huggingface.co/kerasformers/electra_small_discriminator) | [`kerasformers/electra_small_generator`](https://huggingface.co/kerasformers/electra_small_generator) |
+| base | [`kerasformers/electra_base_discriminator`](https://huggingface.co/kerasformers/electra_base_discriminator) | [`kerasformers/electra_base_generator`](https://huggingface.co/kerasformers/electra_base_generator) |
+| large | [`kerasformers/electra_large_discriminator`](https://huggingface.co/kerasformers/electra_large_discriminator) | [`kerasformers/electra_large_generator`](https://huggingface.co/kerasformers/electra_large_generator) |
+
+## Tips
+
+- Set `KERAS_BACKEND` **before** importing Keras / kerasformers.
+- Prefer `ElectraTokenizer.from_weights(...)` so WordPiece tokenization matches.
+- Downstream tasks (classification / QA / NER) use the **discriminator** repos; the **generator** repos are the masked-LM.
+- See [ELECTRA docs](https://imvision12.github.io/KerasFormers/electra/) and [Loading Weights](https://imvision12.github.io/KerasFormers/loading_weights/).
+- Community / upstream safetensors still work via the `hf:` prefix, e.g. `ElectraModel.from_weights("hf:google/electra-base-generator")`.
+
+## Special Thanks
+
+A huge thank you to the Google ELECTRA authors for creating and releasing these models.
+
+License: Apache 2.0.