ragarwal
/

deberta-v3-base-nli-mixer-binary

Text Classification

Inference Endpoints

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ragarwal commited on May 20, 2022

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338b199

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1 Parent(s): c08b06f

Update README.md

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@@ -26,7 +26,7 @@ from torch.nn.functional import softmax, sigmoid
 device = "cuda" if torch.cuda.is_available() else "cpu"
-model_name="ragarwal/deberta-v3-base-nli-mixer"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForSequenceClassification.from_pretrained(model_name)
@@ -52,7 +52,7 @@ In Sentence-Transformers
 ```python
 from sentence_transformers import CrossEncoder
-model_name="ragarwal/deberta-v3-base-nli-mixer"
 model = CrossEncoder(model_name, max_length=256)
 sentence = "During its monthly call, the National Oceanic and Atmospheric Administration warned of \

 device = "cuda" if torch.cuda.is_available() else "cpu"
+model_name="ragarwal/deberta-v3-base-nli-mixer-binary"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForSequenceClassification.from_pretrained(model_name)
 ```python
 from sentence_transformers import CrossEncoder
+model_name="ragarwal/deberta-v3-base-nli-mixer-binary"
 model = CrossEncoder(model_name, max_length=256)
 sentence = "During its monthly call, the National Oceanic and Atmospheric Administration warned of \