Update ML Intern artifact metadata

README.md

@@ -4,6 +4,7 @@ license: apache-2.0
 base_model: distilbert/distilbert-base-uncased
 tags:
 - generated_from_trainer
+- ml-intern
 metrics:
 - accuracy
 - f1
@@ -66,3 +67,23 @@ The following hyperparameters were used during training:
 - Pytorch 2.11.0+cu130
 - Datasets 4.8.5
 - Tokenizers 0.22.2
+
+<!-- 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 = 'Aime2k2/spam-email-distilbert'
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id)
+```
+
+For non-causal architectures, replace `AutoModelForCausalLM` with the appropriate `AutoModel` class.