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Update README.md
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README.md
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@@ -22,6 +22,7 @@ base_model: unsloth/llama-3-8b-Instruct-bnb-4bit
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### Loading the fine-tuned model and the tokenizer for inference
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from unsloth import FastLanguageModel
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model, tokenizer = FastLanguageModel.from_pretrained(
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model_name = "varadsrivastava/BAI_LLM_FinArg",
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max_seq_length = 20,
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@@ -34,8 +35,11 @@ FastLanguageModel.for_inference(model)
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# Prompt template:
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"""<|begin_of_text|><|start_header_id|>system<|end_header_id|>
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{instruction}<|eot_id|><|start_header_id|>user<|end_header_id|>
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Sentence: {row['text']}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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Class: {row['label']}<|eot_id|>"""
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NOTE: This model was trained 2x faster using Unsloth and Huggingface's TRL library.
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### Loading the fine-tuned model and the tokenizer for inference
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from unsloth import FastLanguageModel
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+
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model, tokenizer = FastLanguageModel.from_pretrained(
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model_name = "varadsrivastava/BAI_LLM_FinArg",
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max_seq_length = 20,
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# Prompt template:
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"""<|begin_of_text|><|start_header_id|>system<|end_header_id|>
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+
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{instruction}<|eot_id|><|start_header_id|>user<|end_header_id|>
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Sentence: {row['text']}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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Class: {row['label']}<|eot_id|>"""
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NOTE: This model was trained 2x faster using Unsloth and Huggingface's TRL library.
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