Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2005_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2005_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2005_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2005_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d4a63b3575f1b2eed9c8474ebfb459040d5d844418a1738ef7ad570da2d87eb
- Size of remote file:
- 185 MB
- SHA256:
- fcc66b91d8293a667a579ec755f28de64fc5926aaef86ce204caef9d5fd04722
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