Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Tiny_2013_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Tiny_2013_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2013_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2013_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e230357ad13d1e393e020a9e66084395d9169f3891ffe1c05c8045b33127c432
- Size of remote file:
- 33.6 MB
- SHA256:
- 5d4699bc27991407e28f49114b62e7ca734d97456742676ec5ea2b184174c191
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