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--- |
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license: openrail |
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datasets: |
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- newsmediabias/debiased_dataset |
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language: |
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- en |
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--- |
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``` |
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from transformers import AutoTokenizer |
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import transformers |
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import torch |
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model = "newsmediabias/UnBIAS-LLama2-Debiaser-Chat-QLoRA" |
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tokenizer = AutoTokenizer.from_pretrained(model) |
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pipeline = transformers.pipeline( |
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"text-generation", |
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model=model, |
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torch_dtype=torch.float16, |
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device_map="auto", |
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) |
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sys_message = "Task:"" |
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prompt="" |
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intput_text="" |
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sequences = pipeline( |
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intput_text, |
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do_sample=True, |
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top_k=10, |
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num_return_sequences=1, |
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eos_token_id=tokenizer.eos_token_id, |
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max_length=len(prompt)+100, |
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) |
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res=sequences[0]['generated_text'] |
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``` |
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