Migrate to zeromodels (rename kf_*.json -> zm_*.json, fix refs in config + README, ensure tag + badge)

README.md

@@ -2,10 +2,10 @@
 pipeline_tag: feature-extraction
 license: apache-2.0
 base_model: google/electra-small-discriminator
-library_name: kerasformers
+library_name: zeromodels
 tags:
 - keras
-- kerasformers
+- zeromodels
 - electra
 - discriminator
 - text-encoder
@@ -16,13 +16,13 @@ tags:
 - tf
 ---
 
-## ***See [our collection](https://huggingface.co/collections/kerasformers/electra-6a8540d1f5831e07dc89d8d1) for all versions of ELECTRA.***
+## ***See [our collection](https://huggingface.co/collections/zeromodels/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)
+[![GitHub](https://img.shields.io/badge/GitHub-ZeroModels-black?logo=github)](https://github.com/IMvision12/ZeroModels) [![Docs](https://img.shields.io/badge/Docs-ELECTRA-blue)](https://imvision12.github.io/ZeroModels/electra/) [![Collection](https://img.shields.io/badge/HF-ELECTRA%20collection-yellow)](https://huggingface.co/collections/zeromodels/electra-6a8540d1f5831e07dc89d8d1)
 
-# kerasformers/electra_small_discriminator
+# zeromodels/electra_small_discriminator
 
 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)
 
@@ -30,7 +30,7 @@ ELECTRA is Google's BERT-style bidirectional text encoder, pre-trained as a repl
 
 For more details on the model, please go to the upstream [model card](https://huggingface.co/google/electra-small-discriminator).
 
-Pure-**Keras 3** conversion of [`google/electra-small-discriminator`](https://huggingface.co/google/electra-small-discriminator) for [kerasformers](https://github.com/IMvision12/KerasFormers). One implementation runs unmodified on **TensorFlow / Torch / JAX**.
+Pure-**Keras 3** conversion of [`google/electra-small-discriminator`](https://huggingface.co/google/electra-small-discriminator) for [zeromodels](https://github.com/IMvision12/ZeroModels). One implementation runs unmodified on **TensorFlow / Torch / JAX**.
 
 ## ✨ Quick start (encoder / downstream)
 
@@ -38,27 +38,27 @@ Pure-**Keras 3** conversion of [`google/electra-small-discriminator`](https://hu
 import os
 os.environ["KERAS_BACKEND"] = "torch"  # or "jax" / "tensorflow"
 
-from kerasformers.models.electra import ElectraModel, ElectraTokenizer
+from zeromodels.models.electra import ElectraModel, ElectraTokenizer
 
-model = ElectraModel.from_weights("kerasformers/electra_small_discriminator")
-tokenizer = ElectraTokenizer.from_weights("kerasformers/electra_small_discriminator")
+model = ElectraModel.from_weights("zeromodels/electra_small_discriminator")
+tokenizer = ElectraTokenizer.from_weights("zeromodels/electra_small_discriminator")
 
 out = model(tokenizer("The quick brown fox."))["last_hidden_state"]  # (1, L, H)
 ```
 
 The same repo also serves the task heads, loaded the same way: `ElectraSequenceClassify`, `ElectraTokenClassify`, `ElectraQnA`, `ElectraMultipleChoice` (each takes the pretrained encoder and a randomly-initialized head, ready for fine-tuning).
 
-Load any ELECTRA variant the same way with `from_weights("kerasformers/<variant>")`:
+Load any ELECTRA variant the same way with `from_weights("zeromodels/<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) |
+| small | [`zeromodels/electra_small_discriminator`](https://huggingface.co/zeromodels/electra_small_discriminator) | [`zeromodels/electra_small_generator`](https://huggingface.co/zeromodels/electra_small_generator) |
+| base | [`zeromodels/electra_base_discriminator`](https://huggingface.co/zeromodels/electra_base_discriminator) | [`zeromodels/electra_base_generator`](https://huggingface.co/zeromodels/electra_base_generator) |
+| large | [`zeromodels/electra_large_discriminator`](https://huggingface.co/zeromodels/electra_large_discriminator) | [`zeromodels/electra_large_generator`](https://huggingface.co/zeromodels/electra_large_generator) |
 
 ## Available classes
 
-Load any of these from this repo with `from_weights("kerasformers/electra_small_discriminator")` (or on the fly via the `hf:` prefix). The pretrained backbone is shared; task heads not stored in this checkpoint start randomly initialized, ready for fine-tuning (or load a `hf:` fine-tune).
+Load any of these from this repo with `from_weights("zeromodels/electra_small_discriminator")` (or on the fly via the `hf:` prefix). The pretrained backbone is shared; task heads not stored in this checkpoint start randomly initialized, ready for fine-tuning (or load a `hf:` fine-tune).
 
 | Class | Task |
 |---|---|
@@ -69,16 +69,16 @@ Load any of these from this repo with `from_weights("kerasformers/electra_small_
 | `ElectraMultipleChoice` | Multiple choice |
 
 ```python
-from kerasformers.models.electra import ElectraSequenceClassify
-model = ElectraSequenceClassify.from_weights("kerasformers/electra_small_discriminator")
+from zeromodels.models.electra import ElectraSequenceClassify
+model = ElectraSequenceClassify.from_weights("zeromodels/electra_small_discriminator")
 ```
 
 ## Tips
 
-- Set `KERAS_BACKEND` **before** importing Keras / kerasformers.
+- Set `KERAS_BACKEND` **before** importing Keras / zeromodels.
 - 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/).
+- See [ELECTRA docs](https://imvision12.github.io/ZeroModels/electra/) and [Loading Weights](https://imvision12.github.io/ZeroModels/loading_weights/).
 - Community / upstream safetensors still work via the `hf:` prefix, e.g. `ElectraModel.from_weights("hf:google/electra-small-discriminator")`.
 
 ## Special Thanks

kf_config.json → zm_config.json

@@ -1,24 +1,24 @@
-{
-  "library_name": "kerasformers",
-  "kerasformers_version": "1.2.4",
-  "model_module": "kerasformers.models.electra",
-  "model_class": "ElectraModel",
-  "variant": "electra_small_discriminator",
-  "weights": "model.weights.h5",
-  "schema_version": 2,
-  "weight_dtype": "float32",
-  "model_type": "electra",
-  "text_config": {
-    "vocab_size": 30522,
-    "embedding_size": 128,
-    "embed_dim": 256,
-    "num_layers": 12,
-    "num_heads": 4,
-    "mlp_dim": 1024,
-    "max_position_embeddings": 512,
-    "type_vocab_size": 2,
-    "hidden_act": "gelu",
-    "layer_norm_eps": 1e-12,
-    "pad_token_id": 0
-  }
+{
+  "library_name": "zeromodels",
+  "zeromodels_version": "1.2.4",
+  "model_module": "zeromodels.models.electra",
+  "model_class": "ElectraModel",
+  "variant": "electra_small_discriminator",
+  "weights": "model.weights.h5",
+  "schema_version": 2,
+  "weight_dtype": "float32",
+  "model_type": "electra",
+  "text_config": {
+    "vocab_size": 30522,
+    "embedding_size": 128,
+    "embed_dim": 256,
+    "num_layers": 12,
+    "num_heads": 4,
+    "mlp_dim": 1024,
+    "max_position_embeddings": 512,
+    "type_vocab_size": 2,
+    "hidden_act": "gelu",
+    "layer_norm_eps": 1e-12,
+    "pad_token_id": 0
+  }
 }