Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Tiny_2014_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Tiny_2014_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2014_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2014_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf42aaa0956bd0c5115c1da04e5fdea04f380b5edf1e48df0edfa6515926d6fb
- Size of remote file:
- 33.6 MB
- SHA256:
- 955c63a9038a5dde86ea1e64b9a35f710ec4e2d526f01af77878eb6959cc834d
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