Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2013_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2013_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2013_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2013_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4abce851752897d47812fa3b1378f126483897ff79ff6b007ad59c378064fb3
- Size of remote file:
- 185 MB
- SHA256:
- bbede698acfc1d7e73d5a5fd9c84e4d5df7f763fbc38b470dccd6393f90635bb
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