Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2006_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2006_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2006_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2006_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb7b8b87627f09cc72d5db2dbb9ddb21f5e389e1154c4c4dcc5ccfdef0a0f238
- Size of remote file:
- 185 MB
- SHA256:
- aefbeeee9a10251a42792c929196021b7f5ac88dadf066de94fab8dd9c5f06ef
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