Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2007_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2007_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2007_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2007_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91f16f06005e3717011510bb1e174728d25b2d214f218f1c3119c95cd710a40f
- Size of remote file:
- 185 MB
- SHA256:
- 9635aa1108f15bc3a2d89a3096e711db67dd0bb65e23cd9e476f0dc070e22c38
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