Update ML Intern artifact metadata

README.md

@@ -1,3 +1,7 @@
+---
+tags:
+- ml-intern
+---
 # ModernProteinLM: Next-Generation Protein Encoder
 
 A next-generation protein language model architecture that combines state-of-the-art NLP encoder improvements with protein-specific training innovations to push predictive task performance under 200M parameters.
@@ -169,3 +173,23 @@ If you use this architecture, cite:
 - ELECTRA (Clark et al., ICLR 2020)
 - NeoBERT (2025)
 - SpanBERT (Joshi et al., 2020)
+
+<!-- ml-intern-provenance -->
+## Generated by ML Intern
+
+This model repository was generated by [ML Intern](https://github.com/huggingface/ml-intern), an agent for machine learning research and development on the Hugging Face Hub.
+
+- Try ML Intern: https://smolagents-ml-intern.hf.space
+- Source code: https://github.com/huggingface/ml-intern
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_id = 'GrimSqueaker/ModernProteinLM'
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id)
+```
+
+For non-causal architectures, replace `AutoModelForCausalLM` with the appropriate `AutoModel` class.