Add library_name and pipeline_tag

README.md

@@ -1,13 +1,16 @@
 ---
 license: mit
+library_name: transformers
+pipeline_tag: text-generation
 ---
+
 # Model Card for SciLitLLM-7B
 
 SciLitLLM-7B adapts a general large language model for effective scientific literature understanding. Starting from the Qwen2-7B model, SciLitLLM-7B goes through a hybrid strategy that integrates continual pre-training (CPT) and supervised fine-tuning (SFT), to simultaneously infuse scientific domain knowledge and enhance instruction-following capabilities for domain-specific tasks.
 
 In this process, we identify two key challenges: (1) constructing high-quality CPT corpora, and (2) generating diverse SFT instructions. We address these challenges through a meticulous pipeline, including PDF text extraction, parsing content error correction, quality filtering, and synthetic instruction creation.
 
-Applying this strategy, we present SciLitLLM-7B, specialized in scientific literature understanding, which demonstrates promising performance on scientific literature understanding benchmarks. Specifically, it shows an average performance improvement of 3.6\% on SciAssess and 10.1\% on SciRIFF compared to leading LLMs with fewer than 15B parameters.
+Applying this strategy, we present SciLitLLM-7B, specialized in scientific literature understanding, which demonstrates promising performance on scientific literature understanding benchmarks. Specifically, it shows an average performance improvement of 3.6% on SciAssess and 10.1% on SciRIFF compared to leading LLMs with fewer than 15B parameters.
 
 See the [paper](https://arxiv.org/abs/2408.15545) for more details and [github](https://github.com/dptech-corp/Uni-SMART) for data processing codes.
 
@@ -32,7 +35,8 @@ model = AutoModelForCausalLM.from_pretrained(
 )
 tokenizer = AutoTokenizer.from_pretrained("Uni-SMART/SciLitLLM")
 
-prompt = "Can you summarize this article for me?\n <ARTICLE>"
+prompt = "Can you summarize this article for me?
+ <ARTICLE>"
 messages = [
     {"role": "system", "content": "You are a helpful assistant."},
     {"role": "user", "content": prompt}
@@ -68,5 +72,4 @@ If you find our work helpful, feel free to give us a cite.
       archivePrefix={arXiv},
       primaryClass={cs.LG},
       url={https://arxiv.org/abs/2408.15545}, 
-}
-```
+}