Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Tiny_2008_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Tiny_2008_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2008_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2008_Augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64ec97e19be1f42b1a2ef2240b6efe41889140fcf86fe8f4ee3ad50cd369f1ed
- Size of remote file:
- 33.6 MB
- SHA256:
- 7e0a397d18ba4b7010476dc8cdfd7fc8a01c62940d44e17dc0fcbac2c6813607
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