Update README.md

README.md

@@ -92,11 +92,13 @@ import torch
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
 
-# load your Tigre-trained encoder
 model_id = "BeitTigreAI/tigre-sonar-encoder"
-seq2seq = M2M100ForConditionalGeneration.from_pretrained(model_id)
+seq2seq = M2M100ForConditionalGeneration.from_pretrained(
+    model_id,
+    subfolder="model"  
+)
 encoder = seq2seq.get_encoder().to(device).eval()
-tokenizer = AutoTokenizer.from_pretrained(model_id)
+tokenizer = AutoTokenizer.from_pretrained(model_id, subfolder="model")
 
 @torch.inference_mode()
 def embed(texts, lang):
@@ -115,6 +117,7 @@ def score_pair(tig, eng):
 
 print(score_pair("እት እድንየ እግል ትርኤ ተሐዜዮ ተቅዪር ግበእ", "Be the change that you wish to see in the world"))
 print(score_pair("ክል ዶል ኢገብእ መስል እስከ ይከለስ", "It always seems impossible until it's done"))
+   
 ---
 
 ## License