add torch_dtype="auto" to load model weights in bf16
Browse files
README.md
CHANGED
@@ -41,7 +41,7 @@ from transformers import AutoTokenizer, AutoModelForCausalLM
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# Load the tokenizer and model
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tokenizer = AutoTokenizer.from_pretrained("cerebras/btlm-3b-8k-base")
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model = AutoModelForCausalLM.from_pretrained("cerebras/-3b-8k-base", trust_remote_code=True)
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# Set the prompt for generating text
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prompt = "Albert Einstein was known for "
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@@ -72,7 +72,7 @@ from transformers import pipeline
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# Load the tokenizer and model
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tokenizer = AutoTokenizer.from_pretrained("cerebras/btlm-3b-8k-base")
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model = AutoModelForCausalLM.from_pretrained("cerebras/btlm-3b-8k-base", trust_remote_code=True)
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# Set the prompt for text generation
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prompt = """Isaac Newton was a """
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# Load the tokenizer and model
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tokenizer = AutoTokenizer.from_pretrained("cerebras/btlm-3b-8k-base")
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model = AutoModelForCausalLM.from_pretrained("cerebras/-3b-8k-base", trust_remote_code=True, torch_dtype="auto")
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# Set the prompt for generating text
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prompt = "Albert Einstein was known for "
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# Load the tokenizer and model
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tokenizer = AutoTokenizer.from_pretrained("cerebras/btlm-3b-8k-base")
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model = AutoModelForCausalLM.from_pretrained("cerebras/btlm-3b-8k-base", trust_remote_code=True, torch_dtype="auto")
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# Set the prompt for text generation
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prompt = """Isaac Newton was a """
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