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shorif-crypto-trend-lite
Tasfiya025/shorif-crypto-trend-lite
shorif-crypto-trend-lite is a machine learning model from Tasfiya025. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
shorif-crypto-trend-lite is a lightweight regression model designed to predict short-term cryptocurrency price movement trends based on historical numerical indicators.
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At a glance
- Access
- Public
- Created
- Dec 13, 2025
- Updated
- Dec 13, 2025
- SHA
- 04f8fb6b
Model card
From the Hugging Face model README
shorif-crypto-trend-lite
Overview
shorif-crypto-trend-lite is a lightweight regression model designed to predict short-term cryptocurrency price movement trends based on historical numerical indicators.
Model Architecture
The model uses a simplified transformer-inspired feed-forward architecture optimized for time-series regression.
Intended Use
- Educational crypto trend analysis
- Research and simulation
- Non-financial advisory experiments
Limitations
- Not a financial advice system
- Sensitive to noisy or incomplete data
- Not suitable for long-term forecasting
Example Code
import torch
model = torch.load("shorif-crypto-trend-lite.pt")
prediction = model(torch.randn(1, 12))
- Created
- Dec 13, 2025
- Updated
- Dec 13, 2025