Add zeromodels PVT weights + zm_config + model card

README.md

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+---
+pipeline_tag: image-classification
+license: apache-2.0
+base_model: Zetatech/pvt-medium-224
+library_name: zeromodels
+tags:
+- keras
+- zeromodels
+- image-classification
+- pvt
+- backbone
+- arxiv:2102.12122
+- pytorch
+- jax
+- tf
+---
+
+## ***See [our collection](https://huggingface.co/collections/zeromodels/pvt-and-pvtv2-6a90e9dd0a2b03a982d0b876) for all PVT and PVTv2 versions.***
+
+# Run PVT with Keras 3: JAX, PyTorch, or TensorFlow
+
+[![GitHub](https://img.shields.io/badge/GitHub-ZeroModels-black?logo=github)](https://github.com/IMvision12/ZeroModels) [![Docs](https://img.shields.io/badge/Docs-PVT-blue)](https://imvision12.github.io/ZeroModels/pvt/) [![Collection](https://img.shields.io/badge/HF-PVT%20collection-yellow)](https://huggingface.co/collections/zeromodels/pvt-and-pvtv2-6a90e9dd0a2b03a982d0b876)
+
+# zeromodels/pvt-medium-224
+
+Paper: [Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions (arXiv:2102.12122)](https://arxiv.org/abs/2102.12122) · [HF Papers](https://huggingface.co/papers/2102.12122)
+
+PVT is a hierarchical vision transformer: four pyramid stages with spatial-reduction attention over non-overlapping patches and learned position embeddings. Use `PvtImageClassify` for logits or `PvtModel` for tokens / per-stage features via `as_backbone=True`.
+
+- Parameters: ~44.2M
+- ImageNet-1k top-1: **81.2%**
+
+For more details on the model, see the upstream [model card](https://huggingface.co/Zetatech/pvt-medium-224).
+
+Pure-**Keras 3** conversion of [`Zetatech/pvt-medium-224`](https://huggingface.co/Zetatech/pvt-medium-224) for [zeromodels](https://github.com/IMvision12/ZeroModels). One implementation runs unmodified on **TensorFlow / Torch / JAX**.
+
+This is an **image-classification / backbone** checkpoint (`PvtImageClassify` / `PvtModel`).
+
+## ✨ Quick start
+
+```python
+import os
+os.environ["KERAS_BACKEND"] = "torch"  # or "jax" / "tensorflow"
+
+from PIL import Image
+import numpy as np
+from zeromodels.models.pvt import PvtImageClassify, PvtModel
+
+model = PvtImageClassify.from_weights("zeromodels/pvt-medium-224")
+backbone = PvtModel.from_weights("zeromodels/pvt-medium-224", as_backbone=True)
+
+image = Image.open("your_image.jpg").convert("RGB").resize((224, 224))
+x = np.asarray(image, dtype="float32")[None]  # (1, H, W, 3), raw [0, 255]
+print(model(x).shape)  # (1, num_classes)
+feats = backbone(x)
+print(len(feats), [tuple(f.shape) for f in feats])  # 4-stage feature pyramid
+```
+
+Normalization is baked into the graph, so pass raw `[0, 255]` pixels. Load any PVT
+variant the same way with `from_weights("zeromodels/<variant>")`:
+
+| Variant | ImageNet-1k top-1 | Hub |
+|---|---|---|
+| `pvt-tiny-224` | 75.1% | [`zeromodels/pvt-tiny-224`](https://huggingface.co/zeromodels/pvt-tiny-224) |
+| `pvt-small-224` | 79.8% | [`zeromodels/pvt-small-224`](https://huggingface.co/zeromodels/pvt-small-224) |
+| `pvt-medium-224` | 81.2% | [`zeromodels/pvt-medium-224`](https://huggingface.co/zeromodels/pvt-medium-224) |
+| `pvt-large-224` | 81.7% | [`zeromodels/pvt-large-224`](https://huggingface.co/zeromodels/pvt-large-224) |
+
+## Tips
+
+- Set `KERAS_BACKEND` **before** importing Keras / zeromodels.
+- `PvtImageClassify` returns class logits; `PvtModel` returns features (`as_backbone=True` for the four-stage pyramid).
+- Both the model and its data format (`channels_last` / `channels_first`) are supported and bit-exact.
+- See the [docs](https://imvision12.github.io/ZeroModels/pvt/) and [Loading Weights](https://imvision12.github.io/ZeroModels/loading_weights/).
+- Upstream checkpoints load directly: `PvtImageClassify.from_weights("hf:Zetatech/pvt-medium-224")`.
+
+## Special Thanks
+
+A huge thank you to the PVT authors ([whai362/PVT](https://github.com/whai362/PVT)) and the Hugging Face
+community for creating and releasing these models.
+
+License: see the YAML `license` above (matches the upstream checkpoint).

model.weights.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4edb71a433aee109701f22629dccbb4017a117b05b0649f5b4227585eb5af535
+size 178076912

zm_config.json

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+{
+  "library_name": "zeromodels",
+  "zeromodels_version": "1.2.6",
+  "model_module": "zeromodels.models.pvt",
+  "model_class": "PvtImageClassify",
+  "variant": "pvt-medium-224",
+  "weights": "model.weights.h5",
+  "schema_version": 2,
+  "model_type": "pvt",
+  "vision_config": {
+    "hidden_sizes": [
+      64,
+      128,
+      320,
+      512
+    ],
+    "depths": [
+      3,
+      4,
+      18,
+      3
+    ],
+    "num_attention_heads": [
+      1,
+      2,
+      5,
+      8
+    ],
+    "sr_ratios": [
+      8,
+      4,
+      2,
+      1
+    ],
+    "mlp_ratios": [
+      8,
+      8,
+      4,
+      4
+    ],
+    "image_size": 224,
+    "num_classes": 1000
+  }
+}