Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2003_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2003_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2003_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2003_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 782ee06f3be8592b0baeba63199ef6b9fa52189266631437ec0d68bc85641025
- Size of remote file:
- 81.8 MB
- SHA256:
- d0e76ab1352e59c93db0e3554106ef8a3cb0befea26674a931e842dac5d92563
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