aari1995
/

German_Semantic_STS_V2

Sentence Similarity

sentence-transformers

feature-extraction

retrieval augmented generation

Inference Endpoints

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aari1995 commited on Jun 5, 2023

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b30a21d

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1 Parent(s): 406d9c1

Update README.md

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@@ -67,8 +67,8 @@ def mean_pooling(model_output, attention_mask):
 sentences = ['This is an example sentence', 'Each sentence is converted']
 # Load model from HuggingFace Hub
-tokenizer = AutoTokenizer.from_pretrained('aari1995/gBERT-large-sts-v2')
-model = AutoModel.from_pretrained('aari1995/gBERT-large-sts-v2')
 # Tokenize sentences
 encoded_input = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt')

 sentences = ['This is an example sentence', 'Each sentence is converted']
 # Load model from HuggingFace Hub
+tokenizer = AutoTokenizer.from_pretrained('aari1995/German_Semantic_STS_V2')
+model = AutoModel.from_pretrained('aari1995/German_Semantic_STS_V2')
 # Tokenize sentences
 encoded_input = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt')