Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Tiny_2016_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Tiny_2016_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2016_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2016_US", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8aa946ab07916a5d48ade4cb4cc1593e3d845af320fb0b17775e174602481369
- Size of remote file:
- 33.6 MB
- SHA256:
- cc512c7d21951db50a5cf4fc3655e97b9b774b559ef6f53b5ce37ace298cae39
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