Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2001_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2001_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2001_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2001_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24cf8032779119d2ff6130125a5ce752f298ad8246a4e083a20f8ca926c7014c
- Size of remote file:
- 185 MB
- SHA256:
- 085ade1e8e07635c07485ff60bde4f4bce33fa62bb0e0da88e38182c006fa7e1
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