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crypto-timeseries-transformer
Siyam025/crypto-timeseries-transformer
crypto-timeseries-transformer is a machine learning model from Siyam025. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Transformer-based regression model for short-term cryptocurrency price forecasting.
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At a glance
- Access
- Public
- Created
- Dec 13, 2025
- Updated
- Dec 13, 2025
- SHA
- 91591dd0
Model card
From the Hugging Face model README
crypto-timeseries-transformer
Overview
Transformer-based regression model for short-term cryptocurrency price forecasting.
Model Architecture
- Encoder-only Transformer
- Continuous regression output
Intended Use
Research, backtesting, feature generation for trading strategies.
Limitations
Market regime shifts can reduce accuracy. Not financial advice.
Example Code
import torch
model = torch.load("pytorch_model.bin")
prediction = model(input_tensor)
- Created
- Dec 13, 2025
- Updated
- Dec 13, 2025