Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Tiny_2017_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Tiny_2017_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2017_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2017_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f05e229782b99adb2c35c52d697fb406bdff5a85cacff2472b9965d00a21275
- Size of remote file:
- 33.6 MB
- SHA256:
- a510fb3cf5a22f64af2bf752fd9d67992d25d25fc598163b2b14fd560a810e4a
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