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@@ -85,9 +85,9 @@ mitigate potential bias and safety. We would strongly discourage any use of B
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  The fastest way to get started with BLING is through direct import in transformers:
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- model = AutoModelForCausalLM.from_pretrained("llmware/bling-1b-0.1")
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-
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- tokenizer = AutoTokenizer.from_pretrained("llmware/bling-1b-0.1")
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  The BLING model was fine-tuned with a simple "<human> and <bot> wrapper", so to get the best results, wrap inference entries as:
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  The fastest way to get started with BLING is through direct import in transformers:
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+ from transformers import AutoTokenizer, AutoModelForCausalLM
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+ tokenizer = AutoTokenizer.from_pretrained("llmware/bling-1.4b-0.1")
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+ model = AutoModelForCausalLM.from_pretrained("llmware/bling-1.4b-0.1")
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  The BLING model was fine-tuned with a simple "<human> and <bot> wrapper", so to get the best results, wrap inference entries as:
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