Example of how you might update objects in Weaviate with tokenized data (note: this is a conceptual example and assumes you have a function tokenize_text and a Weaviate client client set up)

UPDATE_OBJECTS_IN_WEAVIATE.py

from transformers import BertTokenizer

# Assuming you have a tokenizer function
tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')

# Iterate over objects in Weaviate (pseudo-code)
for object in weaviate_objects:
    # Tokenize the text of the object
    tokenized = tokenizer(object['text'], padding=True, truncation=True, return_tensors="pt")
    
    # Update the object in Weaviate with tokenized data
    client.data_object.update(
        object_id=object['id'],
        data={
            "input_ids": tokenized['input_ids'].tolist(),
            "attention_mask": tokenized['attention_mask'].tolist(),
            # Optionally add token_type_ids
        },
        class_name='YourClassName'
    )