google-bert
/

bert-large-uncased-whole-word-masking

Fill-Mask Transformers PyTorch TensorFlow JAX Safetensors

English bert Inference Endpoints

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lysandre HF staff commited on Jan 13, 2021

Commit

8729e56

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1 Parent(s): fe9e39d

Update checkpoint identifiers

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README.md +2 -2

README.md CHANGED Viewed

@@ -56,7 +56,7 @@ You can use this model directly with a pipeline for masked language modeling:
 ```python
 >>> from transformers import pipeline
->>> unmasker = pipeline('fill-mask', model='bert-large-uncased')
 >>> unmasker("Hello I'm a [MASK] model.")
 [
     {
@@ -117,7 +117,7 @@ predictions:
 ```python
 >>> from transformers import pipeline
->>> unmasker = pipeline('fill-mask', model='bert-large-uncased')
 >>> unmasker("The man worked as a [MASK].")
 [
    {

 ```python
 >>> from transformers import pipeline
+>>> unmasker = pipeline('fill-mask', model='bert-large-uncased-whole-word-masking')
 >>> unmasker("Hello I'm a [MASK] model.")
 [
     {
 ```python
 >>> from transformers import pipeline
+>>> unmasker = pipeline('fill-mask', model='bert-large-uncased-whole-word-masking')
 >>> unmasker("The man worked as a [MASK].")
 [
    {