Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2012_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2012_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2012_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2012_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 431e5cbe09ee8ab3e1082a210ae0f1aa785975518f68038eed4ef7884d44bc88
- Size of remote file:
- 185 MB
- SHA256:
- faf04b1401307e79112f805139fbd9353734c6e19873eb4a666fdf25d8d529ab
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