Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2020_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2020_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2020_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2020_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed62652a0e0225770c4b74641e0ae3ab3bf5c722c476d56424309497f03a5840
- Size of remote file:
- 81.8 MB
- SHA256:
- c55feae698b0aed7568e5ba3d4c9ff526948954a95ce59c58a284949eabf67ef
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