Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2010_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2010_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2010_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2010_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b47b1c9713782bb18e3f547e1d1d1b8ad390c971a525ad84693b7e93a00393a
- Size of remote file:
- 185 MB
- SHA256:
- 0738c102521a21f05ef6dd66a88a95702d64ac87d0e7ed8d6696bcde765b841c
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