Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Tiny_2009_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Tiny_2009_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2009_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2009_Augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f6a41bf0508af248759f608efc36a6cd0c7164741cb53b48933e6b627d9e819
- Size of remote file:
- 33.6 MB
- SHA256:
- 1f0030ed183b483e3ea4636e5680e3afe4c08ced4b0459aee698c90472fab03d
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