Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2015_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2015_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2015_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2015_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 156b0032579724fa26edee844c0aac469942d0022c9caaf1ddf052896495903a
- Size of remote file:
- 185 MB
- SHA256:
- a1829042f8bb61885df74eeada26aad7134dd2998da7d35c5f0988a2aaacd3e4
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