Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2006_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2006_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2006_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2006_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd15ea8f1f0659f119199ac363d8b755dfc475a5a9b1ce722e0d27e975c43c57
- Size of remote file:
- 185 MB
- SHA256:
- a790b65dda92e60503862e94debc84d12161a6cd193c7ede7354ff3ec4155db5
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