Added information table

README.md

@@ -1,3 +1,12 @@
+---
+license: apache-2.0
+datasets:
+- TechWolf/anonymous-working-histories
+language:
+- en
+base_model:
+- sentence-transformers/all-mpnet-base-v2
+---
 
 # career-path-representation-mpnet-decorte
 This is a fine-tuned version of [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) on custom data.
@@ -5,7 +14,7 @@ For fine-tuning details, preprocessing code, and how to use this model for caree
 
 ## Model Details
 - **Base Model**: `sentence-transformers/all-mpnet-base-v2`
-- **Fine-tuned on**: TechWolf/anonymous-working-histories
+- **Fine-tuned on**: `TechWolf/anonymous-working-histories`
 - **Tasks**: Sentence Embeddings / Text Similarity
 - **License**: Apache-2.0
 
@@ -14,4 +23,4 @@ For fine-tuning details, preprocessing code, and how to use this model for caree
 from transformers import AutoModel, AutoTokenizer
 
 model = AutoModel.from_pretrained("ElenaSenger/career-path-representation-mpnet-decorte")
-tokenizer = AutoTokenizer.from_pretrained("ElenaSenger/career-path-representation-mpnet-decorte")
+tokenizer = AutoTokenizer.from_pretrained("ElenaSenger/career-path-representation-mpnet-decorte")