Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2002_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2002_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2002_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2002_US", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ef824b8b7e1f55695cfd4330a86714f30df7c878c68e93acb6860fb9b93cb24
- Size of remote file:
- 81.8 MB
- SHA256:
- 4d7efa38726f592093a8f91a79f9bb697085ef6dad4428a663a0f66b9c7ed878
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