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Update README.md

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@@ -51,7 +51,7 @@ Here is how to load and use the model in your Python projects:
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  ```python
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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- model_name = "taddeusb90/finbro-v0.1.0-llama-3-8B-instruct-1m-POSE"
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  tokenizer = AutoTokenizer.from_pretrained(model_name)
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  model = AutoModelForCausalLM.from_pretrained(model_name)
@@ -103,12 +103,12 @@ If you use this model in your research, please cite it as follows:
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  ```bibtex
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  @misc{
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- finbro_v0.1.0-llama-3-8B-1m-POSE,
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  author = {Taddeus Buica},
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  title = {Fibro Llama 3 8B Model for Financial Analysis},
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  year = {2024},
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  journal = {Hugging Face repository},
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- howpublished = {\url{https://huggingface.co/taddeusb90/finbro-v0.1.0-llama-3-8B-instruct-1m-POSE}}
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  }
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  ```
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  ```python
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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+ model_name = "taddeusb90/finbro-v0.1.0-llama-3-8B-instruct-1m"
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  tokenizer = AutoTokenizer.from_pretrained(model_name)
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  model = AutoModelForCausalLM.from_pretrained(model_name)
 
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  ```bibtex
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  @misc{
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+ finbro_v0.1.0-llama-3-8B-1m,
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  author = {Taddeus Buica},
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  title = {Fibro Llama 3 8B Model for Financial Analysis},
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  year = {2024},
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  journal = {Hugging Face repository},
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+ howpublished = {\url{https://huggingface.co/taddeusb90/finbro-v0.1.0-llama-3-8B-instruct-1m}}
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  }
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  ```
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