Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2011_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2011_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2011_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2011_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8fd7319d3ba3dd602e5be8e38958093fe9c2e5da43921d7265672dd814af59da
- Size of remote file:
- 185 MB
- SHA256:
- 04ba117bb659b6062544c35361b2184d5ee5fee93e2a1d0751246d50829d3868
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