Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2000_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2000_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2000_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2000_US", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7380b125cbdcdce19b026acbfc58b4b93a7cec18c564131be7b9116b54dfcbc1
- Size of remote file:
- 81.8 MB
- SHA256:
- 6ff311bef7734fa9b6a43639dc31ef81dbb1be99f066829402fbf9c73dae9501
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