Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Tiny_2017_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Tiny_2017_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2017_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2017_US", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64fde141a2e0573c79d13a41d597dc329fb7bf45222e85bada7f61b472fd76d6
- Size of remote file:
- 33.6 MB
- SHA256:
- e2c58aff18fbc6be3b73f9bb32aeac1baf3ff92784e6b5baa8ff2102a7635ced
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