Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2003_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2003_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2003_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2003_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c040833113e6d98532b969d1bdf4b9b89f3c602dfd5938167419d3b51c6703d
- Size of remote file:
- 185 MB
- SHA256:
- 4443d9944eb4b807519fbec4962c93f8c0ff379a7afcb72ee226a69c926951fb
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