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README.md
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@@ -39,6 +39,8 @@ This shows the potential for applying strong language models such as [Open-Orca/
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
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tokenizer = AutoTokenizer.from_pretrained(model_dir)
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model = AutoModelForCausalLM.from_pretrained(
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model_dir, torch_dtype=torch.bfloat16, device_map='auto',
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
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model_dir = "lightblue/openorca_stx"
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tokenizer = AutoTokenizer.from_pretrained(model_dir)
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model = AutoModelForCausalLM.from_pretrained(
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model_dir, torch_dtype=torch.bfloat16, device_map='auto',
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