osiria
/

distiluse-base-italian

Feature Extraction

Inference Endpoints

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osiria commited on Jun 11, 2023

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@@ -36,8 +36,8 @@ It can be used to encode Italian texts and compute similarities between them.
 from transformers import AutoTokenizer, AutoModel
 import numpy as np
-tokenizer = AutoTokenizer.from_pretrained("../osiria/distiluse-base-italian/")
-model = AutoModel.from_pretrained("../osiria/distiluse-base-italian/")
 text1 = "Alessandro Manzoni è stato uno scrittore italiano"
 text2 = "Giacomo Leopardi è stato un poeta italiano"
 vec1 = model(tokenizer.encode(text1, return_tensors = "pt")).last_hidden_state[0,0,:].cpu().detach().numpy()

 from transformers import AutoTokenizer, AutoModel
 import numpy as np
+tokenizer = AutoTokenizer.from_pretrained("osiria/distiluse-base-italian")
+model = AutoModel.from_pretrained("osiria/distiluse-base-italian")
 text1 = "Alessandro Manzoni è stato uno scrittore italiano"
 text2 = "Giacomo Leopardi è stato un poeta italiano"
 vec1 = model(tokenizer.encode(text1, return_tensors = "pt")).last_hidden_state[0,0,:].cpu().detach().numpy()