Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2016_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2016_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2016_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2016_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe9eb84cbcdd1fe7f8eae186ad5c1866e4cb9818058a4610bf6598cb124a1dba
- Size of remote file:
- 81.8 MB
- SHA256:
- af9b7529aa7231b4d60a5307befe2ab6b854e9770a28ae52b4f60722c2027d87
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