Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2002_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2002_Global with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2002_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2002_Global", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from FinText/Chronos_Small_2002_Global: direct link, hf CLI and curl.
- Browser
- Download file 668 Bytes
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https://huggingface.co/FinText/Chronos_Small_2002_Global/resolve/main/README.md
- Command line
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hf download hf://FinText/Chronos_Small_2002_Global/README.md
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curl -L -o README.md https://huggingface.co/FinText/Chronos_Small_2002_Global/resolve/main/README.md
668 Bytes
| pipeline_tag: time-series-forecasting | |
| license: apache-2.0 | |
| tags: | |
| - TSFM | |
| - Finance | |
| - Financial Forecasting | |
| - FinText | |
| library_name: transformers | |
| ## Chronos-Small (TSFM) โ Global (2002) | |
| This is the **Time Series Foundation Model (TSFM)**, pre-trained on **global financial time series data up to the year 2002** using the **Chronos architecture (Small size)**. The dataset spans from **1990โ2002** and includes all **global excess return data**. | |
| ๐ **Related Links** | |
| - [๐ View all Chronos (Small) models - Global](https://huggingface.co/collections/FinText/chronos-small-global) | |
| - [๐ View all TSFMs](https://huggingface.co/FinText/collections) | |