Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Tiny_2011_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Tiny_2011_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2011_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2011_US", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b358b9dc3df2e6bfeccaf0e25ed939396c4aab4ed7a76c2583189a92098edb6b
- Size of remote file:
- 33.6 MB
- SHA256:
- 0c5090c898573893091c90774b9e9adf4698950e1a56de791cf42f3b0487c14b
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