Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2018_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2018_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2018_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2018_Augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca02bd83967f1491ce26d8cfa7a6991a395146f135341c3930948e0fdcf22778
- Size of remote file:
- 185 MB
- SHA256:
- be7528b447bd9b558e8136c7906bee576ea6b555ac6b8474db5823c2f4b92bb1
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