Update README.md

README.md

@@ -37,13 +37,13 @@ The embeddings were trained on a large Portuguese corpus (Brazilian + European),
 from huggingface_hub import hf_hub_download
 from safetensors.numpy import load_file
 
-path = hf_hub_download(repo_id="nilc-nlp/glove--100d",
+path = hf_hub_download(repo_id="nilc-nlp/glove-100d",
                        filename="embeddings.safetensors")
 
 data = load_file(path)
 vectors = data["embeddings"]
 
-vocab_path = hf_hub_download(repo_id="nilc-nlp/glove--100d",
+vocab_path = hf_hub_download(repo_id="nilc-nlp/glove-100d",
                              filename="vocab.txt")
 with open(vocab_path) as f:
     vocab = [w.strip() for w in f]