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Update README.md

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@@ -50,8 +50,8 @@ import torch
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  from h2oai_pipeline import H2OTextGenerationPipeline
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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- tokenizer = AutoTokenizer.from_pretrained("h2oai/h2ogpt-oig-oasst1-256-6.9b", padding_side="left")
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- model = AutoModelForCausalLM.from_pretrained("h2oai/h2ogpt-oig-oasst1-256-6.9b", torch_dtype=torch.bfloat16, device_map="auto")
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  generate_text = H2OTextGenerationPipeline(model=model, tokenizer=tokenizer)
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  res = generate_text("Why is drinking water so healthy?", max_new_tokens=100)
 
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  from h2oai_pipeline import H2OTextGenerationPipeline
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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+ tokenizer = AutoTokenizer.from_pretrained("h2oai/h2ogpt-oig-oasst1-256-6_9b", padding_side="left")
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+ model = AutoModelForCausalLM.from_pretrained("h2oai/h2ogpt-oig-oasst1-256-6_9b", torch_dtype=torch.bfloat16, device_map="auto")
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  generate_text = H2OTextGenerationPipeline(model=model, tokenizer=tokenizer)
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  res = generate_text("Why is drinking water so healthy?", max_new_tokens=100)