Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2020_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2020_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2020_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2020_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 204382aeb13179e87729b2d6ed864f11e34317448a2f2fc8f5c114c863b4ba7e
- Size of remote file:
- 185 MB
- SHA256:
- e396e9529007d4fdfb2254c7b11f58cdead98d577b161e3e61ef4d892bd493f9
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