Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2006_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2006_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2006_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2006_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f60be16958dbefb67b5a7f64218a4dd04838d3d4f3034efe3d38486278bc8e29
- Size of remote file:
- 81.8 MB
- SHA256:
- 28c9a5e0d1a27f161fb7445a2d859f59047f3e6dc491f911c3cdccdc2e9b5eb2
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