Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2011_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2011_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2011_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2011_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 815b0af255dd4f7f5d63da3401a1fb1c0b2bc57f8932af87ed9353a412d906b7
- Size of remote file:
- 185 MB
- SHA256:
- 84cdd41c34886593b66827db039b5d0b4be35919f29d61d968be322a92bf6e8f
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