Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2018_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2018_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2018_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2018_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5207f78dff605dce853dc672896bb112fefb6d5a445bc83d24b2f75d7a659859
- Size of remote file:
- 185 MB
- SHA256:
- 378dc7b8f8c484e6081283af7349e976d04562fb8d22067311270185193d39a0
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