Transformers
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Inference Endpoints
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@@ -29,6 +29,29 @@ Instruction tuned FlanT5-XXL on Legal Clauses data generated via ChatGPT. The mo
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  # Uses
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  </details>
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  ### Running the model on a GPU in 8bit
 
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  # Uses
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+ </details>
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+
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+ ### Prompt
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+
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+
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+ <details>
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+ <summary> Click to expand </summary>
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+
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+ ```python
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+ # pip install accelerate peft bitsandbytes
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+ import torch
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+ from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
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+ from peft import PeftModel,PeftConfig
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+ peft_model_id = 'NebulaSense/ContractAssist'
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+
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+ peft_config = PeftConfig.from_pretrained(peft_model_id)
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+
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+ model = AutoModelForSeq2SeqLM.from_pretrained(peft_config.base_model_name_or_path, device_map="auto",load_in_8bit=True)
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+ tokenizer = AutoTokenizer.from_pretrained(peft_config.base_model_name_or_path)
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+ model = PeftModel.from_pretrained(model, peft_model_id)
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+ model.eval()
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+ ```
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+
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  </details>
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  ### Running the model on a GPU in 8bit