fin-gemma-3s

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Fin-Gemma-3s

Fin-Gemma-3s is a fine-tuned model based on Google's Gemma 2B, specifically tailored for financial conversations and questions. This model is a significant step forward in promoting financial literacy.

Model Details

• Model Name: Fin-Gemma-3s
• Base Model: Google Gemma 2B
• Fine-Tuned On: A dataset that includes responses from ChatGPT-4.0 to financial conversations and questions.

Purpose

The primary goal of Fin-Gemma-3s is to enhance financial literacy by providing accurate and insightful responses to financial queries. This model is designed to assist users in understanding complex financial concepts and making informed decisions.

Usage

To use this model, you can load it using the Hugging Face transformers library:

from transformers import AutoModel, AutoTokenizer

# Load the tokenizer and model
tokenizer = AutoTokenizer.from_pretrained("hardiktiwari/fin-gemma-3s")
model = AutoModel.from_pretrained("hardiktiwari/fin-gemma-3s")

# Example usage
inputs = tokenizer("What is the impact of inflation on savings?", return_tensors="pt")
outputs = model(**inputs)

Model Details

Model Description

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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

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Uses

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Direct Use

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Bias, Risks, and Limitations

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Recommendations

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How to Get Started with the Model

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Training Details

Training Data

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Training Procedure

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Summary

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Environmental Impact

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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