Update README.md

README.md

@@ -2,24 +2,4 @@
 license: mit
 ---
 
-Causality detection model fine-tuned on both self-labeled data and both the training and dev sets from the Causal News Corpus (https://github.com/tanfiona/CausalNewsCorpus/tree/master/data).
-
-Usage (Causality Inference):
-
-import transformers
-
-import torch
-
-
-model = AutoModelForSequenceClassification.from_pretrained('adamnik/roberta-causality-self-train')
-
-tokenizer = AutoTokenizer.from_pretrained('roberta-base-cased')
-
-sentence = "Last summer , tens of thousands of people in the northeastern city of Dalian , Liaoning , marched to demand the relocation of a chemical plant."
-
-input = tokenizer(sentence, return_tensors='pt')
-
-with torch.no_grad():
-    outputs = model(**input)
-
-predictions = torch.argmax(outputs.logits, dim=-1)
+Causality detection model fine-tuned on both self-labeled data and both the training and dev sets from the Causal News Corpus (https://github.com/tanfiona/CausalNewsCorpus/tree/master/data).