tradicio commited on
Commit
d75c170
1 Parent(s): de45db6

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +3 -3
README.md CHANGED
@@ -54,8 +54,8 @@ def mean_pooling(model_output, attention_mask):
54
  sentences = ['This is an example sentence', 'Each sentence is converted']
55
 
56
  # Load model from HuggingFace Hub
57
- tokenizer = AutoTokenizer.from_pretrained('{MODEL_NAME}')
58
- model = AutoModel.from_pretrained('{MODEL_NAME}')
59
 
60
  # Tokenize sentences
61
  encoded_input = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt')
@@ -77,7 +77,7 @@ print(sentence_embeddings)
77
 
78
  <!--- Describe how your model was evaluated -->
79
 
80
- For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name={MODEL_NAME})
81
 
82
 
83
  ## Training
 
54
  sentences = ['This is an example sentence', 'Each sentence is converted']
55
 
56
  # Load model from HuggingFace Hub
57
+ tokenizer = AutoTokenizer.from_pretrained('aiknowyou/aiky-sentence-bertino')
58
+ model = AutoModel.from_pretrained('aiknowyou/aiky-sentence-bertino')
59
 
60
  # Tokenize sentences
61
  encoded_input = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt')
 
77
 
78
  <!--- Describe how your model was evaluated -->
79
 
80
+ For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name=aiknowyou/aiky-sentence-bertino)
81
 
82
 
83
  ## Training