Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2002_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2002_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2002_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2002_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f187c76b8382253d86b56d81cffe7fd7a5abf09d1ab7207dc3beb87449164950
- Size of remote file:
- 81.8 MB
- SHA256:
- 466158469eacb07cf99172e7ebe46249ae177fcc94d550375a7d4f3a4afda393
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