Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2020_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2020_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2020_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2020_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fcc9784db9ac4c75324416486da6e21c8a6d5c231862ad8e23152d38e6814eae
- Size of remote file:
- 81.8 MB
- SHA256:
- 5cd3d65c739f2eeb5ebea457b3bbbc84586cf2ecfa51c20c54b53360393603ea
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