inesaltemir
/

MNLP_M2_document_encoder

Sentence Similarity

sentence-transformers

Transformers.js

feature-extraction

text-embeddings-inference

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zpn commited on Feb 1, 2024

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1 Parent(s): bf57b13

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@@ -2669,7 +2669,7 @@ def mean_pooling(model_output, attention_mask):
 sentences = ['What is TSNE?', 'Who is Laurens van der Maaten?']
 tokenizer = AutoTokenizer.from_pretrained('bert-base-uncased')
-model = AutoModel.from_pretrained('nomic-ai/nomic-embed-text-v1-unsupervised', trust_remote_code=True)
 encoded_input = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt')

 sentences = ['What is TSNE?', 'Who is Laurens van der Maaten?']
 tokenizer = AutoTokenizer.from_pretrained('bert-base-uncased')
+model = AutoModel.from_pretrained('nomic-ai/nomic-embed-text-v1', trust_remote_code=True)
 encoded_input = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt')