Update README.md

README.md

@@ -52,8 +52,8 @@ import torch
 import torch.nn.functional as F
 
 # Load model and tokenizer
-model = AutoModel.from_pretrained("dmedhi/pawanembd-68m")
-tokenizer = AutoTokenizer.from_pretrained("dmedhi/pawanembd-68m")
+model = AutoModel.from_pretrained("dmedhi/PawanEmbd-68M")
+tokenizer = AutoTokenizer.from_pretrained("dmedhi/PawanEmbd-68M")
 
 # Encode sentences
 sentences = ["This is an example sentence", "Each sentence is converted to a vector"]
@@ -76,7 +76,7 @@ print(f"Similarity: {similarity.item():.4f}")
 from sentence_transformers import SentenceTransformer
 from sentence_transformers.util import cos_sim
 
-model = SentenceTransformer("dmedhi/pawanembd-68m")
+model = SentenceTransformer("dmedhi/PawanEmbd-68M")
 
 sentences = ["This is an example sentence", "Each sentence is converted to a vector"]
 embeddings = model.encode(sentences)