Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Tiny_2006_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Tiny_2006_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2006_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2006_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ef3442112b73ca13b1e8c8f121eaa7b9fa299b429ab4c5942b7c01d329d7c5d
- Size of remote file:
- 33.6 MB
- SHA256:
- 061c9c07814f66a5e7561c76bcc6d50698c7c207928af0c847a0e7e15e70f2a4
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