Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2001_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2001_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2001_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2001_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0015cc7cc2c89f7ed9d566239e7d2eecef9f4eb5b48b60c274e0075e79dd73ad
- Size of remote file:
- 185 MB
- SHA256:
- bdd3f56124aa63b2bfaa5836e7c3d00350d9891cc544213751bd5b691738e521
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