Add metadata and link to paper/Github (#2)

- Add metadata and link to paper/Github (e84b20b986c228f1a6c4bcdc2b89bd0ab99d06bb)


Co-authored-by: Niels Rogge <[email protected]>

README.md

@@ -1,3 +1,9 @@
+---
+license: apache-2.0
+library_name: transformers
+pipeline_tag: text-generation
+---
+
 # ChatTS-14B Model
 `ChatTS` focuses on **Understanding and Reasoning** about time series, much like what vision/video/audio-MLLMs do.
 This repo provides code, datasets and model for `ChatTS`: [ChatTS: Aligning Time Series with LLMs via Synthetic Data for Enhanced Understanding and Reasoning](https://arxiv.org/pdf/2412.03104).
@@ -22,7 +28,10 @@ timeseries = np.sin(np.arange(256) / 10) * 5.0
 timeseries[100:] -= 10.0
 prompt = f"I have a time series length of 256: <ts><ts/>. Please analyze the local changes in this time series."
 # Apply Chat Template
-prompt = f"<|im_start|>system\nYou are a helpful assistant.<|im_end|><|im_start|>user\n{prompt}<|im_end|><|im_start|>assistant\n"
+prompt = f"<|im_start|>system
+You are a helpful assistant.<|im_end|><|im_start|>user
+{prompt}<|im_end|><|im_start|>assistant
+"
 # Convert to tensor
 inputs = processor(text=[prompt], timeseries=[timeseries], padding=True, return_tensors="pt")
 # Model Generate
@@ -35,6 +44,11 @@ print(tokenizer.decode(outputs[0][len(inputs['input_ids'][0]):], skip_special_to
 - transformers (https://github.com/huggingface/transformers.git)
 - [ChatTS Paper](https://arxiv.org/pdf/2412.03104)
 
+[Link to the paper](https://arxiv.org/pdf/2412.03104)
+
+[Link to the Github repository](https://github.com/NetManAIOps/ChatTS)
+
+
 ## License
 This model is licensed under the [Apache License 2.0](LICENSE).
 
@@ -46,4 +60,4 @@ This model is licensed under the [Apache License 2.0](LICENSE).
   journal={arXiv preprint arXiv:2412.03104},
   year={2024}
 }
-```
+```