Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Tiny_2018_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Tiny_2018_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2018_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2018_US", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da609bb087707d8ce8a61e6fdd93ea1ff5139b084cecb5de41e8aa2cff9f77f1
- Size of remote file:
- 33.6 MB
- SHA256:
- 98e6ed4e421783eb5b4b1203c2693b1e506714febb52edc7cffdd2fbfc45298e
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