Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2016_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2016_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2016_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2016_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 343cfb21d32685ebf66ec98667df874bb9ab46e4eab972233a936c0bc5bd4c6e
- Size of remote file:
- 185 MB
- SHA256:
- b518f1753680f4bbf6b22dd5a542ae610d912d18a9911e5f8b89a4f8ea528bdd
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