Add pipeline tag, library name and project links

README.md

@@ -1,15 +1,21 @@
 ---
-license: apache-2.0
 datasets:
 - common-pile/comma_v0.1_training_dataset
 language:
 - en
+license: apache-2.0
+library_name: transformers
+pipeline_tag: text-generation
 ---
+
 # TinyComma 1.8B 
 
 TinyComma 1.8B is a 1.8B parameter, decoder-only base LM trained entirely on permissively licensed data from the [Common Pile](https://huggingface.co/collections/common-pile/common-pile-v01). Different from the official Comma model series, TinyComma 1.8B uses the 128K-vocabulary [Llama3](https://huggingface.co/collections/meta-llama/llama-31) tokenizer to ensure compatibility with two-model decoding setups.
 We trained TinyComma 1.8B to support our research on inference-time copyright mitigation. 
-Check out our paper, [Anchored Decoding: Provably Reducing Copyright Risk for Any Language Model](https://arxiv.org/abs/2602.07120), for more details!
+
+- **Paper:** [Anchored Decoding: Provably Reducing Copyright Risk for Any Language Model](https://arxiv.org/abs/2602.07120)
+- **Repository:** [jacqueline-he/anchored-decoding](https://github.com/jacqueline-he/anchored-decoding)
+- **Project Page:** [Interactive Demo](https://tinyurl.com/anchored-decoding-demo)
 
 ## Benchmarking TinyComma 1.8B
 
@@ -101,4 +107,4 @@ and (2) a 13.5B-token cooldown stage on a weighted mixture of three high-quality
   journal={arXiv preprint},
   year={2026}
 }
-```
+```