MultiBertGunjanPatrick
/

multiberts-seed-3-2000k

multiberts-seed-3

Inference Endpoints

Model card Files Files and versions Community

gchhablani commited on Oct 4, 2021

Commit

37e21a1

•

1 Parent(s): 7f66406

Update README

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -47,7 +47,7 @@ generation you should look at model like GPT2.
 Here is how to use this model to get the features of a given text in PyTorch:
 ```python
 from transformers import BertTokenizer, BertModel
-tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')
 model = BertModel.from_pretrained("multiberts-seed-3-2000k")
 text = "Replace me by any text you'd like."
 encoded_input = tokenizer(text, return_tensors='pt')

 Here is how to use this model to get the features of a given text in PyTorch:
 ```python
 from transformers import BertTokenizer, BertModel
+tokenizer = BertTokenizer.from_pretrained('multiberts-seed-3-2000k')
 model = BertModel.from_pretrained("multiberts-seed-3-2000k")
 text = "Replace me by any text you'd like."
 encoded_input = tokenizer(text, return_tensors='pt')