MPA
/

sambert

Sentence Similarity

sentence-transformers

feature-extraction

text-embeddings-inference

Inference Endpoints

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MPA commited on Jul 12

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fa7f994

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1 Parent(s): f12b1ab

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@@ -57,8 +57,8 @@ def mean_pooling(model_output, attention_mask):
 sentences = ["אמא הלכה לגן", "אבא הלך לגן", "ירקוני קונה לנו פיצות"]
 # Load model from HuggingFace Hub
-tokenizer = AutoTokenizer.from_pretrained('{MODEL_NAME}')
-model = AutoModel.from_pretrained('{MODEL_NAME}')
 # Tokenize sentences
 encoded_input = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt')

 sentences = ["אמא הלכה לגן", "אבא הלך לגן", "ירקוני קונה לנו פיצות"]
 # Load model from HuggingFace Hub
+tokenizer = AutoTokenizer.from_pretrained('MPA/sambert')
+model = AutoModel.from_pretrained('MPA/sambert')
 # Tokenize sentences
 encoded_input = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt')