Instructions to use nieche/chronos-2-fine-tuned-LoRA-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nieche/chronos-2-fine-tuned-LoRA-v2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nieche/chronos-2-fine-tuned-LoRA-v2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Model Card for Chronos Bolt BASE Fine-Tuned Model v2
The model was fine-tuned on large amount of sales data with a lot of covariates. Training data contains 2.3 million data point. Other details about data is confidential.
Technical Specifications
Model Architecture and Objective
The model is based on the amazon/chronos-2 architecture, fine-tuned specifically for intermittent time-series forecasting tasks. It leverages pre-trained capabilities for sequence-to-sequence modeling, adapted to handle multi-horizon forecasting scenarios.
Contact:
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Model tree for nieche/chronos-2-fine-tuned-LoRA-v2
Base model
amazon/chronos-2