Update README.md

README.md

@@ -1,3 +1,29 @@
 ---
 license: apache-2.0
+datasets:
+- grantg123/deductiveinductivereasoning
+language:
+- en
 ---
+---
+license: apache-2.0
+language:
+- en
+---pip install transformers
+from transformers import BertModel, BertTokenizer
+
+# Load pre-trained BERT model and tokenizer
+model_name = 'bert-base-uncased'  # Example: base BERT model with uncased vocabulary
+tokenizer = BertTokenizer.from_pretrained(model_name)
+model = BertModel.from_pretrained(model_name)
+# Example input text
+input_text = "Example input text to be tokenized and processed by BERT."
+
+# Tokenize input text
+tokenized_input = tokenizer(input_text, return_tensors='pt')
+
+# Feed tokenized input to BERT model
+outputs = model(**tokenized_input)
+# Extract hidden states or pooled output from BERT
+hidden_states = outputs.last_hidden_state
+pooled_output = outputs.pooler_output