Add example Usage
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README.md
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# Model Card for Model ID
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## Model Details
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# Model Card for Model ID
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## Usage
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```python
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from transformers import AutoTokenizer, T5ForConditionalGeneration, BitsAndBytesConfig
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import torch
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tokenizer = AutoTokenizer.from_pretrained("wisdominanutshell/coedit-xxl-8bit")
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model = T5ForConditionalGeneration.from_pretrained("wisdominanutshell/coedit-xxl-8bit", quantization_config=BitsAndBytesConfig(load_in_8bit=True))
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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input_text = 'Fix grammatical errors in this sentence: When I graw up, I start to understand what he said is quite right.'
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input_ids = tokenizer(input_text, return_tensors="pt").input_ids.to(device)
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outputs = model.generate(input_ids, max_length=256)
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edited_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
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print(edited_text)
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```
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## Model Details
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