Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2014_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2014_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2014_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2014_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee26a0de866ec6a68b1183e9e530f4717264fdf258105e4de11e9ea7f0ad83ba
- Size of remote file:
- 185 MB
- SHA256:
- da22f4f34926d7f4e01cfd4d7197079fbc8656b5dcdab94aac19bacf44e53d3b
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