Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2019_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2019_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2019_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2019_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 68a220abcf793fd3187719ff92d564fd3c39cd3d2b09034cdbcc887797404514
- Size of remote file:
- 185 MB
- SHA256:
- 21244bd5e8437adf75ab4392dba4b377377107a1228dd7bc071bd9b98e040657
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