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

README.md

@@ -2,10 +2,10 @@
 pipeline_tag: automatic-speech-recognition
 license: mit
 base_model: UsefulSensors/moonshine-tiny
-library_name: kerasformers
+library_name: zeromodels
 tags:
 - keras
-- kerasformers
+- zeromodels
 - moonshine
 - automatic-speech-recognition
 - audio
@@ -15,13 +15,13 @@ tags:
 - tf
 ---
 
-## ***See [our collection](https://huggingface.co/collections/kerasformers/moonshine-6a6acc6dae5ff619b873d6c9) for all versions of Moonshine.***
+## ***See [our collection](https://huggingface.co/collections/zeromodels/moonshine-6a6acc6dae5ff619b873d6c9) for all versions of Moonshine.***
 
 # Run Moonshine 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-Moonshine-blue)](https://imvision12.github.io/KerasFormers/moonshine/) [![Collection](https://img.shields.io/badge/HF-Moonshine%20collection-yellow)](https://huggingface.co/collections/kerasformers/moonshine-6a6acc6dae5ff619b873d6c9)
+[![GitHub](https://img.shields.io/badge/GitHub-ZeroModels-black?logo=github)](https://github.com/IMvision12/ZeroModels) [![Docs](https://img.shields.io/badge/Docs-Moonshine-blue)](https://imvision12.github.io/ZeroModels/moonshine/) [![Collection](https://img.shields.io/badge/HF-Moonshine%20collection-yellow)](https://huggingface.co/collections/zeromodels/moonshine-6a6acc6dae5ff619b873d6c9)
 
-# kerasformers/moonshine_tiny
+# zeromodels/moonshine_tiny
 
 Paper: [Moonshine: Speech Recognition for Live Transcription and Voice Commands (arXiv:2410.15608)](https://arxiv.org/abs/2410.15608) · [HF Papers](https://huggingface.co/papers/2410.15608)
 
@@ -29,7 +29,7 @@ Moonshine is an English ASR encoder-decoder built for **short / live** audio: th
 
 For more details on the model, please go to the upstream [model card](https://huggingface.co/UsefulSensors/moonshine-tiny).
 
-Pure-**Keras 3** conversion of [`UsefulSensors/moonshine-tiny`](https://huggingface.co/UsefulSensors/moonshine-tiny) for [kerasformers](https://github.com/IMvision12/KerasFormers). One implementation runs unmodified on **TensorFlow / Torch / JAX**.
+Pure-**Keras 3** conversion of [`UsefulSensors/moonshine-tiny`](https://huggingface.co/UsefulSensors/moonshine-tiny) for [zeromodels](https://github.com/IMvision12/ZeroModels). One implementation runs unmodified on **TensorFlow / Torch / JAX**.
 
 This is an **ASR** checkpoint (`MoonshineConditionalGenerate`).
 
@@ -40,13 +40,13 @@ import os
 os.environ["KERAS_BACKEND"] = "torch"  # or "jax" / "tensorflow"
 
 import soundfile as sf
-from kerasformers.models.moonshine import (
+from zeromodels.models.moonshine import (
     MoonshineProcessor,
     MoonshineConditionalGenerate,
 )
 
-model = MoonshineConditionalGenerate.from_weights("kerasformers/moonshine_tiny")
-processor = MoonshineProcessor.from_weights("kerasformers/moonshine_tiny")
+model = MoonshineConditionalGenerate.from_weights("zeromodels/moonshine_tiny")
+processor = MoonshineProcessor.from_weights("zeromodels/moonshine_tiny")
 
 audio, sr = sf.read("your_audio.wav", dtype="float32")  # 16 kHz mono
 # Cost scales with clip length: no fixed 30 s pad like Whisper.
@@ -54,19 +54,19 @@ text = model.generate(audio, processor)
 print(repr(text[0]))
 ```
 
-Load any Moonshine variant the same way with `from_weights("kerasformers/<variant>")`:
+Load any Moonshine variant the same way with `from_weights("zeromodels/<variant>")`:
 
 | Variant | Hub |
 |---|---|
-| `moonshine_tiny` | [`kerasformers/moonshine_tiny`](https://huggingface.co/kerasformers/moonshine_tiny) |
-| `moonshine_base` | [`kerasformers/moonshine_base`](https://huggingface.co/kerasformers/moonshine_base) |
+| `moonshine_tiny` | [`zeromodels/moonshine_tiny`](https://huggingface.co/zeromodels/moonshine_tiny) |
+| `moonshine_base` | [`zeromodels/moonshine_base`](https://huggingface.co/zeromodels/moonshine_base) |
 
 ## Tips
 
-- Set `KERAS_BACKEND` **before** importing Keras / kerasformers.
+- Set `KERAS_BACKEND` **before** importing Keras / zeromodels.
 - Prefer `MoonshineProcessor.from_weights(...)` so feature extraction matches.
 - English-only; pass a list of waveforms to batch.
-- See [Moonshine docs](https://imvision12.github.io/KerasFormers/moonshine/) and [Loading Weights](https://imvision12.github.io/KerasFormers/loading_weights/).
+- See [Moonshine docs](https://imvision12.github.io/ZeroModels/moonshine/) and [Loading Weights](https://imvision12.github.io/ZeroModels/loading_weights/).
 - Community / upstream safetensors still work via the `hf:` prefix, e.g. `MoonshineConditionalGenerate.from_weights("hf:UsefulSensors/moonshine-tiny")`.
 
 ## Special Thanks

kf_config.json → zm_config.json

@@ -1,38 +1,38 @@
-{
-  "library_name": "kerasformers",
-  "kerasformers_version": "1.2.1",
-  "model_module": "kerasformers.models.moonshine",
-  "model_class": "MoonshineModel",
-  "variant": "moonshine_tiny",
-  "weights": "model.weights.h5",
-  "schema_version": 2,
-  "weight_dtype": "float32",
-  "model_type": "moonshine",
-  "audio_config": {
-    "num_layers": 6,
-    "attention_heads": 8,
-    "num_kv_heads": null,
-    "ffn_dim": 1152,
-    "activation": "gelu"
-  },
-  "text_config": {
-    "num_layers": 6,
-    "attention_heads": 8,
-    "num_kv_heads": null,
-    "ffn_dim": 1152,
-    "activation": "silu",
-    "vocab_size": 32768,
-    "max_position_embeddings": 194,
-    "partial_rotary_factor": 0.9,
-    "rope_theta": 10000.0
-  },
-  "hidden_dim": 288,
-  "layer_norm_eps": 1e-05,
-  "generate_args": {
-    "bos_token_id": 1,
-    "pad_token_id": 2,
-    "decoder_start_token_id": 1,
-    "eos_token_id": 2,
-    "max_length": 194
-  }
+{
+  "library_name": "zeromodels",
+  "zeromodels_version": "1.2.1",
+  "model_module": "zeromodels.models.moonshine",
+  "model_class": "MoonshineModel",
+  "variant": "moonshine_tiny",
+  "weights": "model.weights.h5",
+  "schema_version": 2,
+  "weight_dtype": "float32",
+  "model_type": "moonshine",
+  "audio_config": {
+    "num_layers": 6,
+    "attention_heads": 8,
+    "num_kv_heads": null,
+    "ffn_dim": 1152,
+    "activation": "gelu"
+  },
+  "text_config": {
+    "num_layers": 6,
+    "attention_heads": 8,
+    "num_kv_heads": null,
+    "ffn_dim": 1152,
+    "activation": "silu",
+    "vocab_size": 32768,
+    "max_position_embeddings": 194,
+    "partial_rotary_factor": 0.9,
+    "rope_theta": 10000.0
+  },
+  "hidden_dim": 288,
+  "layer_norm_eps": 1e-05,
+  "generate_args": {
+    "bos_token_id": 1,
+    "pad_token_id": 2,
+    "decoder_start_token_id": 1,
+    "eos_token_id": 2,
+    "max_length": 194
+  }
 }

kf_preprocessor.json → zm_preprocessor.json

@@ -1,9 +1,9 @@
-{
-  "library_name": "kerasformers",
-  "kerasformers_version": "1.1.3",
-  "preprocessor_module": "kerasformers.models.moonshine",
-  "preprocessor_class": "MoonshineFeatureExtractor",
-  "variant": "moonshine_tiny",
-  "sampling_rate": 16000,
-  "padding_value": 0.0
+{
+  "library_name": "zeromodels",
+  "zeromodels_version": "1.1.3",
+  "preprocessor_module": "zeromodels.models.moonshine",
+  "preprocessor_class": "MoonshineFeatureExtractor",
+  "variant": "moonshine_tiny",
+  "sampling_rate": 16000,
+  "padding_value": 0.0
 }