Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Tiny_2010_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Tiny_2010_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2010_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2010_Augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f99ea1c9a87391b152fcea0c7a1baa960c407a1ff208668f33576c1e08ab15e
- Size of remote file:
- 33.6 MB
- SHA256:
- 7d7b488e6050c593d1ad03120fb5d331736199229bfe3d580c88048ab368bfea
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