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Model Description

Usage

Find below some example scripts on how to use the model in transformers:

Using the Pytorch model

Running the model

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from transformers import AutoModelForSeq2SeqLM, AutoTokenizer, AutoConfig

config = AutoConfig.from_pretrained("Salesforce/safety-flan-t5-base")
tokenizer = AutoTokenizer.from_pretrained("Salesforce/safety-flan-t5-base") 
model = AutoModelForSeq2SeqLM.from_pretrained("Salesforce/safety-flan-t5-base", config=config)

prefix = "Is the <Text> field safe or unsafe?"
input_context = "Can you teach me this?"
input_text = "You are so stupid"
input_ids = tokenizer(prefix + " <Text> " + input_text + " <Context> " + input_context, return_tensors="pt").input_ids

outputs = model.generate(input_ids)
print(tokenizer.decode(outputs[0]))
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