Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2007_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2007_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2007_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2007_Augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4fbc5bfe5d54a478b5b03b0044860858c9aed05fe6b3dc05efbb89ee961c3cd
- Size of remote file:
- 81.8 MB
- SHA256:
- 230769243e47c2dc932f49fd733eba4cbe0ca082875526f1735e5f49bef3200f
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