firqaaa
/

indo-sentence-bert-base

Sentence Similarity

sentence-transformers

feature-extraction

text-embeddings-inference

Inference Endpoints

Model card Files Files and versions Community

firqaaa commited on Sep 26, 2022

Commit

bdb4973

•

1 Parent(s): be0f1ee

Update README.md

Files changed (1) hide show

README.md +2 -2

README.md CHANGED Viewed

@@ -29,7 +29,7 @@ from sentence_transformers import SentenceTransformer
 sentences = ["Ibukota Perancis adalah Paris",
             "Menara Eifel terletak di Paris, Perancis",
             "Pizza adalah makanan khas Italia",
-            "Saya kuliah di Carneige Melon University"]
 model = SentenceTransformer('firqaaa/indo-sbert-finetuned-anli-id')
 embeddings = model.encode(sentences)
@@ -57,7 +57,7 @@ def mean_pooling(model_output, attention_mask):
 sentences = ["Ibukota Perancis adalah Paris",
              "Menara Eifel terletak di Paris, Perancis",
              "Pizza adalah makanan khas Italia",
-             "Saya kuliah di Carneige Melon University"]
 # Load model from HuggingFace Hub

 sentences = ["Ibukota Perancis adalah Paris",
             "Menara Eifel terletak di Paris, Perancis",
             "Pizza adalah makanan khas Italia",
+            "Saya kuliah di Carneige Mellon University"]
 model = SentenceTransformer('firqaaa/indo-sbert-finetuned-anli-id')
 embeddings = model.encode(sentences)
 sentences = ["Ibukota Perancis adalah Paris",
              "Menara Eifel terletak di Paris, Perancis",
              "Pizza adalah makanan khas Italia",
+             "Saya kuliah di Carneige Mellon University"]
 # Load model from HuggingFace Hub