Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2009_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2009_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2009_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2009_Global", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bca7ae620af8d44e3806a7a74044abfcfd1d272fa9c0db0e972de1c935f68c89
- Size of remote file:
- 185 MB
- SHA256:
- abd190cb14f2927984466f03467247298f686a0f8e5b199ca6a00aca7aa9eb46
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