d4data
/

bias-detection-model

Text Classification

Text Classification

Inference Endpoints

Model card Files Files and versions Community

deepak commited on Dec 6, 2021

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8ce5e82

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1 Parent(s): 92ba70e

updated readme

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@@ -30,8 +30,8 @@ The easiest way is to load through the pipeline object offered by transformers l
 ```python
 from transformers import AutoTokenizer, TFAutoModelForSequenceClassification
 from transformers import pipeline
-tokenizer = AutoTokenizer.from_pretrained("d4data/bias-detection-model", use_auth_token=True)
-model = TFAutoModelForSequenceClassification.from_pretrained("d4data/bias-detection-model", use_auth_token=True)
 classifier = pipeline('text-classification', model=model, tokenizer=tokenizer) # cuda = 0,1 based on gpu availability
 classifier("The irony, of course, is that the exhibit that invites people to throw trash at vacuuming Ivanka Trump lookalike reflects every stereotype feminists claim to stand against, oversexualizing Ivanka’s body and ignoring her hard work.")

 ```python
 from transformers import AutoTokenizer, TFAutoModelForSequenceClassification
 from transformers import pipeline
+tokenizer = AutoTokenizer.from_pretrained("d4data/bias-detection-model")
+model = TFAutoModelForSequenceClassification.from_pretrained("d4data/bias-detection-model")
 classifier = pipeline('text-classification', model=model, tokenizer=tokenizer) # cuda = 0,1 based on gpu availability
 classifier("The irony, of course, is that the exhibit that invites people to throw trash at vacuuming Ivanka Trump lookalike reflects every stereotype feminists claim to stand against, oversexualizing Ivanka’s body and ignoring her hard work.")