Update README.md

README.md

@@ -15,13 +15,14 @@ license: apache-2.0
 datasets:
 - BlackKakapo/RoSTSC
 base_model:
-- BlackKakapo/stsb-xlm-r-multilingual-ro
+- sentence-transformers-testing/stsb-bert-tiny-safetensors
 ---
 
-# 🔥 cupidon-base-ro
+# 🔥 cupidon-tiny-ro
+
+Don’t let the name fool you — cupidon-tiny-ro may be small, but it hits right in the semantic feels 💘. Fine-tuned from `sentence-transformers-testing/stsb-bert-tiny-safetensors`, this [sentence-transformers](https://www.SBERT.net) model was trained with love (and Romanian data) to turn sentences into sharp, compact embeddings.
+Perfect for tasks like semantic similarity, clustering, or search — and let’s be honest... sometimes, size doesn’t matter when you really know how to encode a sentence. 😉
 
-Don’t be shy — cupidon-base-ro is here to charm your embeddings into alignment 💘. Based on the solid foundations of `BlackKakapo/stsb-xlm-r-multilingual-ro` and lovingly fine-tuned on Romanian STS data, this model brings more than just good looks to the table.
-Because in the end, true meaning isn’t just in the words... it's in how you embed them. 🧠💕
 ## Usage (Sentence-Transformers)
 
 Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
@@ -36,7 +37,7 @@ Then you can use the model like this:
 from sentence_transformers import SentenceTransformer
 sentences = ["This is an example sentence", "Each sentence is converted"]
 
-model = SentenceTransformer('BlackKakapo/cupidon-base-ro')
+model = SentenceTransformer('BlackKakapo/cupidon-tiny-ro')
 embeddings = model.encode(sentences)
 print(embeddings)
 ```
@@ -60,8 +61,8 @@ def mean_pooling(model_output, attention_mask):
 sentences = ['This is an example sentence', 'Each sentence is converted']
 
 # Load model from HuggingFace Hub
-tokenizer = AutoTokenizer.from_pretrained('BlackKakapo/cupidon-base-ro')
-model = AutoModel.from_pretrained('BlackKakapo/cupidon-base-ro')
+tokenizer = AutoTokenizer.from_pretrained('BlackKakapo/cupidon-tiny-ro')
+model = AutoModel.from_pretrained('BlackKakapo/cupidon-tiny-ro')
 ```
 
 ## License
@@ -70,8 +71,8 @@ This dataset is licensed under **Apache 2.0**.
 ## Citation
 If you use BlackKakapo/cupidon-tiny-ro in your research, please cite this model as follows:
 ```
-@misc{cupidon-base-ro,
-  title={BlackKakapo/cupidon-base-ro},
+@misc{cupidon-tiny-ro,
+  title={BlackKakapo/cupidon-tiny-ro},
   author={BlackKakapo},
   year={2025},
 }