Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2007_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2007_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2007_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2007_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba7231e34c72410b67f6663dd71ad19cce5a6cc09d0224f9720321d76e3d1e03
- Size of remote file:
- 81.8 MB
- SHA256:
- 6d58a56563d0e905cd61f6012f4c3d90260d4715f6a825c6fb2f4c9f8eead4ce
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