Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2010_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2010_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2010_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2010_Augmented") - Notebooks
- Google Colab
- Kaggle
metadata
pipeline_tag: time-series-forecasting
license: apache-2.0
tags:
- TSFM
- Finance
- Financial Forecasting
- FinText
library_name: transformers
Chronos-Mini (TSFM) โ Augmented (2010)
This is the Time Series Foundation Model (TSFM), pre-trained on augmented financial time series data up to the year 2010 using the Chronos architecture (Mini size). The dataset spans from 1990โ2010 and includes augmented data.
๐ Related Links