Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2015_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2015_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2015_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2015_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 191cab715305c11ec27e5de26ed1cde24c9e004a9de1b87e9f6efd015f696907
- Size of remote file:
- 185 MB
- SHA256:
- 643998f4326f4197c35d27fd17b0ecefaa1b718bc722b4bd24e05d3400f541f8
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