Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Tiny_2012_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Tiny_2012_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2012_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2012_US", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 19366cb93146690e1df8f5ba3bbda45e5ab3015350169a0be7f59f28e52d8a58
- Size of remote file:
- 33.6 MB
- SHA256:
- d907b507a9e3fc7fcf7c459406e293d7bea85fe692d5526de4e02baf790c4a18
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