Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2004_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2004_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2004_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2004_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f8254687869c1a7b7ef8966c9890d01d91cd4f67dbb1a96ec8a978b442a38fe
- Size of remote file:
- 81.8 MB
- SHA256:
- 50db0f0256abc3225ad19a7b056b526fb8504af2fd0c81b62bddce2acad62cb9
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