Create README.md

README.md

@@ -0,0 +1,35 @@
+---
+license: apache-2.0
+datasets:
+- allenai/qasper
+language:
+- en
+library_name: transformers
+pipeline_tag: sentence-similarity
+---
+
+# SciDPR Context Encoder
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+Dense Passage Retrieval (DPR) is a set of tools and models for state-of-the-art open-domain Q&A research. scidpr-ctx-encoder is the Context Encoder trained using the Scientific Question Answer (QA) dataset (Pradeep et al., 2021).
+
+
+- **Developed by:** See [GitHub repo](https://github.com/gmftbyGMFTBY/science-llm) for model developers
+- **Model type:** BERT-based encoder
+- **Language(s) (NLP):** [Apache 2.0](https://github.com/gmftbyGMFTBY/science-llm/blob/main/LICENSE)
+- **License:** English
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [Girhub Repo](https://github.com/gmftbyGMFTBY/science-llm)
+- **Paper [optional]:** [Paper Repo]()