Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2020_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2020_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2020_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2020_US") - Notebooks
- Google Colab
- Kaggle
| pipeline_tag: time-series-forecasting | |
| license: apache-2.0 | |
| tags: | |
| - TSFM | |
| - Finance | |
| - Financial Forecasting | |
| - FinText | |
| library_name: transformers | |
| ## Chronos-Small (TSFM) β U.S. (2020) | |
| This is the **Time Series Foundation Model (TSFM)**, pre-trained on **U.S. financial time series data up to the year 2020** using the **Chronos architecture (Small size)**. The dataset spans from **1990β2020** and includes all **U.S. excess return data**. | |
| π **Related Links** | |
| - [π View all Chronos (Small) models - U.S.](https://huggingface.co/collections/FinText/chronos-small-us) | |
| - [π View all TSFMs](https://huggingface.co/FinText/collections) | |