Update ML Intern artifact metadata

README.md

@@ -1,3 +1,7 @@
+---
+tags:
+- ml-intern
+---
 # Point-SAM: Promptable 3D Segmentation
 
 A clean, self-contained Python inference package for **Point-SAM** (ICLR 2025), extending SAM's promptable segmentation to 3D point clouds.
@@ -151,3 +155,23 @@ The default is `num_groups=1024, group_size=256` for the large model.
 ## License
 
 MIT (same as the original repository).
+
+<!-- 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 = "bdck/point-sam-inference"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id)
+```
+
+For non-causal architectures, replace `AutoModelForCausalLM` with the appropriate `AutoModel` class.