ragarwal
/

deberta-v3-base-nli-mixer-binary

Text Classification

text-embeddings-inference

Model card Files Files and versions

ragarwal commited on May 20, 2022

Commit

338b199

·

1 Parent(s): c08b06f

Update README.md

Files changed (1) hide show

README.md +2 -2

README.md CHANGED Viewed

@@ -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 \