Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Tiny_2007_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Tiny_2007_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2007_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2007_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94d2b9f6970cfb79143b5799e5a1870fac2ea72f33607489fd5a0adf425e345f
- Size of remote file:
- 33.6 MB
- SHA256:
- 1b10aaf26d34d39dff4b7be0a414c9d23ee15e68f7b1b73d5e546081fe590ddc
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