Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2005_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2005_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2005_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2005_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b26e03169fe46cf886aa12fc845a6687ed9a2d02ea55da5252b0f15810f2546
- Size of remote file:
- 81.8 MB
- SHA256:
- abdab8202bdf8bc61206f73336d2f0271767561e0953226838c95ddfe860fa47
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