Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2003_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2003_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2003_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2003_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 702ff4a7407dd683f761810b494822cbd508a1b58ff9b2ae71ce4213908f4586
- Size of remote file:
- 81.8 MB
- SHA256:
- 65ffbc884627f70613d1e07ee06922ddb4ea6d881234ceccdd88600827fb0628
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