Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2001_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2001_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2001_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2001_Augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99aa9b9036ad0d01be126683c80bb159d85309c4b16c9b523b36fa636328998a
- Size of remote file:
- 81.8 MB
- SHA256:
- d5b3851f53d5f4a7b550512717dcf15248a8981fa5426accf84cab4fde573a5f
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