Add model card

This PR adds a model card for the paper [Scaling Inherently Interpretable Language Models](https://huggingface.co/papers/2608.07594), including metadata (pipeline tag, library, license), links to the project page and code, and a usage snippet from the official GitHub README.

README.md

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+---
+license: other
+library_name: transformers
+pipeline_tag: text-generation
+---
+
+# Steerling-8B
+
+Steerling-8B is an interpretable causal diffusion language model introduced in the paper [Scaling Inherently Interpretable Language Models](https://huggingface.co/papers/2608.07594).
+
+- Project page: [https://www.guidelabs.ai/papers/scaling-inherently-interpretable-language-models/](https://www.guidelabs.ai/papers/scaling-inherently-interpretable-language-models/)
+- Code: [https://github.com/guidelabs/steerling](https://github.com/guidelabs/steerling)
+
+## Usage
+
+```python
+import torch
+from transformers import AutoModel, AutoTokenizer
+from steerling import SteerlingGenerator, GenerationConfig
+
+model_id = "guidelabs/steerling-8b"
+model = AutoModel.from_pretrained(model_id, trust_remote_code=True, dtype=torch.bfloat16)
+tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
+generator = SteerlingGenerator.from_model(model, tokenizer, device="cuda")
+
+prompt = "The key to understanding neural networks is"
+config = GenerationConfig(max_new_tokens=128, steps=128)
+text = generator.generate(prompt, config)
+print(text)
+```