Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Tiny_2016_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Tiny_2016_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2016_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2016_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c20208b4ee85b8e95e5fc1168dcef34e944653a7b33dc4659c76fcee888973d
- Size of remote file:
- 33.6 MB
- SHA256:
- 0a23c6930950b907b3f74da11452520452568bb7965afd07fabbea292a8fcbe4
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