cardiffnlp
/

twitter-roberta-base-dec2020-tweet-topic-multi-all

Text Classification

Inference Endpoints

Model card Files Files and versions Community

asahi417 commited on Sep 30, 2022

Commit

63d8f18

•

1 Parent(s): 1ad3f1b

model update

Files changed (1) hide show

README.md +3 -3

README.md CHANGED Viewed

@@ -5,7 +5,7 @@ metrics:
 - f1
 - accuracy
 model-index:
-- name: twitter-roberta-base-dec2020-tweet-topic-multi-all
   results:
   - task:
       type: text-classification
@@ -52,8 +52,8 @@ from transformers import AutoModelForSequenceClassification, AutoTokenizer
 def sigmoid(x):
   return 1 / (1 + math.exp(-x))
-tokenizer = AutoTokenizer.from_pretrained(twitter-roberta-base-dec2020-tweet-topic-multi-all)
-model = AutoModelForSequenceClassification.from_pretrained(twitter-roberta-base-dec2020-tweet-topic-multi-all, problem_type="multi_label_classification")
 model.eval()
 class_mapping = model.config.id2label

 - f1
 - accuracy
 model-index:
+- name: cardiffnlp/twitter-roberta-base-dec2020-tweet-topic-multi-all
   results:
   - task:
       type: text-classification
 def sigmoid(x):
   return 1 / (1 + math.exp(-x))
+tokenizer = AutoTokenizer.from_pretrained("cardiffnlp/twitter-roberta-base-dec2020-tweet-topic-multi-all")
+model = AutoModelForSequenceClassification.from_pretrained("cardiffnlp/twitter-roberta-base-dec2020-tweet-topic-multi-all", problem_type="multi_label_classification")
 model.eval()
 class_mapping = model.config.id2label